Total 11 Manager Data Entry Clerk job vacancies in D02 Anson, Tanjong Pagar

• Preparing the Budget for the vessels in fleet and New Business based on fleet budget database, historical budget expenses and forecasted expenses. In addition, managing and extracting data driven by forecasting of expenses when requested by owners.
• Assist in keeping high-level tracking of the expenses, on YTD basis for individual vessel and fleet and reporting any deviation. Carry out trending, comparison, and Dashboard for Operating expense. Bench marking against internal KPI. Tracking Open PO and Eye share payment status for the fleet.
• Managing Annual Docking Plan tracking and creating auto alerts for dry dock activities as per the Company's guidance on a monthly forecast plan with the timeline for the various DD project activities.
• Assist in preparing the Dry Dock Budgets based on geographical location. Carry out comparison and identify any deviation from projection real time to restrict overshoot.
• Assist in preparing various H&M claim tracker for the expenses incurred under the claim and collecting all supporting documents to be submitted to the owners.
• Developing and managing Dashboards for monitoring of Vessel reliability and carry out trend analysis.
• Development and management of data models for fleet performance reviews.
• Full management of technical data mining, maintenance of database, creating automated alerts and preparation various reports using Microsoft forms, Power automate and excel.
• Managing inhouse “Technical Reliability” Dashboard for Vessel Manager inspections planning, forecasting, calculating slippage.
• Managing project tracking for various planned and ongoing in the fleet and reporting it to management and sending out alerts for various project and jobs due.

Requirements:

• Degree in business analysis or project management or studies in related field.
• Experienced in managing documentation and preparation for New built takeover.
• Dashboards for Shipmanagement in Power BI, Tableau etc.
• Data Extraction, Transformation and Analysis to prepare reports.
• Developing tools and assist in follow up for expense tracking and budget control.

Responsibilities

• Ensure implementation of company’s data protection framework and program which includes policies, procedures and processes.
• Monitor compliance with relevant data protection laws and regulations, ensure business units’ adherence to data protection policies, procedures and processes, conduct audits and reports on data incidents.
• Identify and implement controls to align business operations with data protection requirements.
• Conduct Data Protection Impact Assessments (DPIAs) to assist internal stakeholder in risks or gaps mitigation to achieve regulatory compliance.
• Interface with various stakeholders to provide real time advisory on data protection and innovation matters or enquiries.
• Conduct trainings on data protection regulations, guidelines and to review into data protection related contractual obligations (alongside the Legal team).
• Provide assistance on data access and correction requests to various business units.
• Other duties include monitoring changes to the data protection landscape, annual internal review of processes, maintaining quality assurance of documentation to ensure accountability under relevant data protection laws and regulations.

Requirements

• University degree
• IT security, compliance, enterprise risk, audit or related background is an advantage
• Minimum 3 years of regulatory compliance experience covering personal data protection or PDPA
• CIPP/CIPM/CIPT or other relevant certification is an added advantage
• Comfortable working with multiple stakeholders, to influence and drive projects
• Self-driven, motivated with business-oriented mindset to deliver solutions and results
• Good negotiation and communication skills, which is essential to foster a strong data protection culture throughout the Company and to maintain and enhance stakeholders’ trust.

Responsibilities:

• Utilize critical thinking to analyze multi-source data and trends, drawing conclusions to drive business outcomes across global programs.
• Connect operations quality gaps to process, product & behavioral issues and drive analysis and actionable projects across internal operations and product teams.
• Design and deploy analytics dashboards to monitor key business metrics, establishing baselines, targets, averages, and benchmarks, and present findings in business forums through presentations.
• Identify appropriate data sources, extract data for analysis, and independently apply analytics tools to generate insights.
• Execute or lead quality assessments on advertisement products.
• Conduct thorough analysis of assessment scores and trends in customer experience and product failure points across process, product, and operational policies.
• Provide guidance and support to vendors to maintain adherence to quality standards.
• Gather insights from various channels and amalgamate them for actionable insights.
• Translate insights into an executable plan and advocate for implementation with key stakeholders.
• Develop and implement comprehensive training programs in line with organizational objectives, collaborating with subject matter experts to create training content and materials.

Qualifications:

• Minimum 4+ years' of experience in the Quality domain, preferably within a business function or technical customer support vendor program.
• Proficient in data analytics tool (e.g. excel etc.).
• Knowledge in programming (e.g. Python) and visualization tools (e.g. Tableau/Power BI).
• Analytical experience solving problems using data and providing actionable business insights.
• Experience in understanding, communicating and resolving technical issues to both technical and non-technical audiences.
• Experience in advertisement tech/digital technology is a plus.

Overview

As the Head of Data Science, you will play a pivotal role in shaping and leading a professional team to harness the power of data analytics and science across various business units. Your responsibilities span from strategic vision-setting to hands-on involvement in developing sophisticated solutions for complex business challenges. This role requires a seasoned leader who can foster innovation, optimize data infrastructure, and champion advanced analytics methodologies to drive informed decision-making.

Key Responsibilities

Team Leadership and Strategy:

• Build and lead a data science team, defining a strategic vision for data analytics and science initiatives.
• Develop and oversee the implementation of data science roadmaps, ensuring alignment with strategic business objectives.

Analytics Development:

• Drive the development and execution of sophisticated BI solutions, predictive analytics, and machine learning models.
• Champion the adoption of advanced analytics methodologies, such as AI-driven insights and automation.

Infrastructure Optimization:

• Collaborate with Database Administrators and Data Engineers to design and optimize data infrastructure.
• Explore and integrate new data sources, tools, and analytical techniques for continuous enhancement of capabilities.

Cultural Fostering:

• Lead by example in fostering a culture of continuous improvement and experimentation with new data science techniques.
• Mentor and develop team members, setting up frameworks for skill enhancement in machine learning, deep learning, NLP, and big data technologies.

Stakeholder Engagement:

• Engage with stakeholders at all levels to provide insightful, data-driven recommendations.
• Deliver presentations that inform and shape key business strategies based on data-driven insights.

Requirements:

Experience:

• Minimum 8 years of experience in the data domain, with a proven track record in BI roles and advanced analytics modeling.
• Extensive experience leading and managing data science teams.

Skills:

• Strong business acumen with the ability to translate complex data insights into clear, actionable business strategies.
• Expertise in stakeholder management and effective communication.
• Proficiency in cutting-edge data science techniques, tools, and platforms.

Leadership:

• Demonstrated ability to build and scale data science capabilities from scratch.
• Outstanding problem-solving skills and attention to detail.

We are seeking a dynamic and experienced Technology, Data & Analytics Manager to lead our organization's technological endeavours and drive data-driven decision-making. In this pivotal role, you will oversee a broad spectrum of responsibilities, ensuring the seamless operation and optimization of our systems. The ideal candidate will exhibit strong leadership skills, technical expertise, and a strategic mindset to contribute to our company's continued growth.

Systems Management: Be the Go-To Expert:

• Expert Leadership: Serve as the primary point of contact for all matters related to systems, offering expertise and solutions to address user concerns.

• Issue Resolution: Oversee and promptly address issues reported on various platforms, ensuring efficient problem resolution.

• Seamless Integration: Collaborate with vendors to address integration challenges, fostering seamless system operation and reliability across systems used in the company.

• Billing Management: Manage billings related to systems and address related inquiries.

Strategic Planning and Collaboration:

• Representation in Planning Cycles: Represent the company in planning cycles, actively contributing insights to improve systems and programming targets on the digital analytics platform.

• Stakeholder Collaboration: Collaborate with stakeholders to enhance systems processes, ensuring alignment with overall business objectives.

• Continuous Improvement: Constantly explore opportunities to enhance systems, explore new tools in the market focusing on improving the efficiency and experience of users.

• Training for Users: Provide technical training to a large audience from the user's perspective.

Data Analysis:

• In-Depth Performance Analysis: Analyse performance trends for sharing insights during company-wide meetings.

• Predictive Sales Analysis: Utilize predictive analysis techniques to forecast sales.

• Business Development Support through Data Analysis: Use data analysis to comprehend market trends and inform business development initiatives.

• Automate Reports with PowerBI: Conceptualize, run, and automate reports using PowerBI to provide valuable insights for strategic decision-making.

People Management:

• Mentor and Coach Data & Systems Team: Foster a collaborative environment, ensuring successful project execution, maintaining smooth systems operations, and Business As Usual (BAU), while tracking task progress, priorities, and ensuring successful completion.
• Team Oversight: Oversee the IT Service Management vendor team, ensuring operational excellence and coordination during major company events.
• Vendor Collaboration: Collaborate with vendors on maintenance, new products, and explore opportunities for system improvements.

Personal Requirements:

• Minimum 5 years experience.
• Technology-related degree.
• Can be adaptable in a multi-faceted role.
• Experience working in a small to medium-sized company is ideal.
• Experience mentoring a teammate.
• Excellent communication skills.

What is in it for you:

• Competitive Salary: SGD 4-6k
• Gym/Wellness Allowance
• Health/Dental Insurance
• Working for a company that is passionate about their employees' personal growth.

About EBC

Established in 2005 Ethos BeathChapman are a global executive search firm with a presence in Australia, Asia and EMEA and is part of the highly capitalised Will Group which is listed on the Tokyo stock exchange.

Passionate about staying innovative, we embrace progressive ways of working and new technologies, and adopt an agile mindset to deliver market leading executive recruitment solutions.

We provide solutions across Financial Services, Fintech & Technology, Legal, Commercial and Life Sciences - our vision is to connect the world’s exceptional companies to exceptional people.

We are seeking a dynamic and experienced Technology, Data & Analytics Manager to lead our organization's technological endeavours and drive data-driven decision-making. In this pivotal role, you will oversee a broad spectrum of responsibilities, ensuring the seamless operation and optimization of our systems. The ideal candidate will exhibit strong leadership skills, technical expertise, and a strategic mindset to contribute to our company's continued growth.

Systems Management: Be the Go-To Expert:

• Expert Leadership: Serve as the primary point of contact for all matters related to systems, offering expertise and solutions to address user concerns.

• Issue Resolution: Oversee and promptly address issues reported on various platforms, ensuring efficient problem resolution.

• Seamless Integration: Collaborate with vendors to address integration challenges, fostering seamless system operation and reliability across systems used in the company.

• Billing Management: Manage billings related to systems and address related inquiries.

Strategic Planning and Collaboration:

• Representation in Planning Cycles: Represent the company in planning cycles, actively contributing insights to improve systems and programming targets on the digital analytics platform.

• Stakeholder Collaboration: Collaborate with stakeholders to enhance systems processes, ensuring alignment with overall business objectives.

• Continuous Improvement: Constantly explore opportunities to enhance systems, explore new tools in the market focusing on improving the efficiency and experience of users.

• Training for Users: Provide technical training to a large audience from the user's perspective.

Data Analysis:

• In-Depth Performance Analysis: Analyse performance trends for sharing insights during company-wide meetings.

• Predictive Sales Analysis: Utilize predictive analysis techniques to forecast sales.

• Business Development Support through Data Analysis: Use data analysis to comprehend market trends and inform business development initiatives.

• Automate Reports with PowerBI: Conceptualize, run, and automate reports using PowerBI to provide valuable insights for strategic decision-making.

People Management:

• Mentor and Coach Data & Systems Team: Foster a collaborative environment, ensuring successful project execution, maintaining smooth systems operations, and Business As Usual (BAU), while tracking task progress, priorities, and ensuring successful completion.
• Team Oversight: Oversee the IT Service Management vendor team, ensuring operational excellence and coordination during major company events.
• Vendor Collaboration: Collaborate with vendors on maintenance, new products, and explore opportunities for system improvements.

Personal Requirements:

• Minimum 5 years experience.
• Technology-related degree.
• Can be adaptable in a multi-faceted role.
• Experience working in a small to medium-sized company is ideal.
• Experience mentoring a teammate.
• Excellent communication skills.

What is in it for you:

• Competitive Salary: SGD 4-6k
• Gym/Wellness Allowance
• Health/Dental Insurance
• Working for a company that is passionate about their employees' personal growth.

About EBC

Established in 2005 Ethos BeathChapman are a global executive search firm with a presence in Australia, Asia and EMEA and is part of the highly capitalised Will Group which is listed on the Tokyo stock exchange.

Passionate about staying innovative, we embrace progressive ways of working and new technologies, and adopt an agile mindset to deliver market leading executive recruitment solutions.

We provide solutions across Financial Services, Fintech & Technology, Legal, Commercial and Life Sciences - our vision is to connect the world’s exceptional companies to exceptional people.

It is expected that the incumbent will manage partners and agencies to drive and deliver effective marketing programmes that are mapped to business objectives. Tracking, analysing, evaluating and reporting on the effectiveness of the campaigns and programmes on the various platforms are expected, as with recommendations to improve performances. In order to perform well in the role, the incumbent will conduct research on trends, identify new opportunities to drive digital growth and establish best practices in digital marketing. The incumbent will be required to monitor social media channels for industry trends, create and manage social and media profiles across multiple channels, drive engagement in each channel, review analytics and create reports on key metrics for content optimization as well as writing and editing social media posts.

Requirement:

• Degree with 6 to 8 years of proven experience in digital / media agencies or similar role creating and executing digital strategies on behalf of external / internal clients
• Demonstrated experience in successfully executing a social programme that includes growing followers organically, increasing engagements and demand generated conversions
• Able to leverage on data-driven research/analysis to drive strategic direction and website optimisation
• Must possess analytical skills and be competent in digital capabilities/ technology and data analytics
• Excellent communications skills including copywriting and copy-editing skills
• project management skills with proven track record of delivering high-quality work under tight timelines
• Able to work well independently as well as in a team. Those with supervisory experience is
• Multi-tasker entailing good time management and ability to handle pressure well
• Knowledge of social media or digital marketing channels out of Singapore will be a plus
• A good eye on aesthetics and design, ability to art direct and create simple artwork will be a plus
• Self-motivated and takes initiative

About the Mediatropy

Mediatropy is an independent award-winning full service Digital Agency with over 70 people across offices in Singapore, Indonesia, Vietnam, Thailand, Malaysia, Philippines, Hong Kong and Shanghai. We provide full marketing service (Strategy, Creative Content, Web Development, Paid Media, Data & Analytics, SEO/SEM and Social) to a diverse clientele, specialising in anything from hospitality, F&B, education to financial services. We are passionate about cultures, work life balance, craft elevation and a strong dose of personal development.

Job Description

As the Data & Analytics Senior Manager, you will be responsible for harnessing the power of data to drive business growth and enhance our digital marketing strategies. You will lead a team of data analysts and work closely with our clients to implement data-driven decisions. Your primary focus will be on digital marketing data, media performance data, analytics visualization, GA4 implementation, cross-platform tracking, and customer data segmentation. Additionally, experience in the following areas is highly valued:

Key Responsibilities

Digital Marketing Data Analysis:

• Analyze digital marketing data to identify trends, opportunities, and areas for improvement.
• Utilize AI to organize and analyze data, extracting actionable insights.

Media Performance Data Management:

• Manage and analyze media performance data from various platforms such as Google Ads, Facebook Ads, and other advertising channels.
• Optimize campaigns based on data insights to improve ROI.

Analytics Visualization & Analysis

• Create and maintain visually engaging reports and dashboards to present data insights effectively.
• Utilize tools such as Looker Studio and Microsoft Power BI to enhance data visualization capabilities
• Generate written insights and analyses that are meaningful to data owners and stakeholders.

GA4 Implementation:

• Lead the implementation and configuration of Google Analytics 4 (GA4) for clients' websites.
• Lead the audit and analysis of tracking effectiveness.
• Ensure GA4 tracking is accurate and aligns with clients' business goals.

Cross-Platform Tracking and Optimization:

• Implement and manage cross-platform tracking solutions to provide a holistic view of customer interactions.
• Ability to make strategic recommendations based on cross-platform data analysis to optimize campaigns

Customer Data Segmentation:

• Segment customer data from CDPS to create personalized marketing strategies.
• Integrate data from Customer Data Platforms with other marketing platforms.

AI-Powered Data Organization:

• Leverage AI to efficiently organize and analyze data for more meaningful insights.
• Stay updated with the latest advancements in AI and data analysis techniques.

Social Listening and Social Media Platforms Integration:

• Utilize social listening tools to monitor and analyze conversations and trends on social media platforms.
• Integrate data from various social media platforms into analytics efforts.

Lead conversations with clients

• Strong verbal and written communication skills in English language
• Ability to write and present persuasively

Qualifications:

In addition to the qualifications mentioned earlier, the ideal candidate will have:

• Some experience or motivation in harnessing AI tools to organize and analyze data effectively.
• Proficiency with Looker Studio, Google Data Studio and/or Microsoft Power BI for advanced data visualization.
• Familiarity with social listening tools and the ability to integrate data from multiple social media platforms.
• Knowledge of Customer Data Platforms (CDPs) and their integration into marketing strategies.
• Experience with tracking implementation on various marketing platforms including but not limited to email automation, social media platforms, Google and Meta Platforms, Tik Tok, mobile apps downloads and broad world wide web analytics.
• A strong passion for staying updated with emerging technologies in the data and analytics field.

How to Apply

If you meet the qualifications listed above and have experience in AI-driven data analysis, Looker Studio, Microsoft Power BI, social listening tools, social media platform integration, and customer data platforms, we encourage you to apply for this position.

Please submit your resume, a cover letter, and any relevant work samples to recruitment@mediatropy.com

Group Data Manager - Environment, Social, and Governance (ESG) Data management and Greenhouse Gas Emissions Reporting

Introduction:

SIPEF is a Belgian agribusiness company listed on Euronext Brussels. It operates mainly agro-industrial activities in the production of sustainable oil palm products, including fresh fruit bunches (FFB), crude palm oil (CPO), palm kernels (PK), and crude palm kernel oil (CPKO), and sustainable bananas.

SIPEF’s mission is to be the preferred supplier of traceable, sustainable, and high-quality premium agricultural products. The Group's operations are focused in Indonesia, Papua New Guinea and Ivory Coast, with the Group Headquarters in Schoten, Belgium. Since 2021, SIPEF has also been operating in Singapore through SIPEF Singapore Pte Ltd.

We are seeking a highly skilled and motivated Group Data Manager with expertise in Environment, Social, and Governance (ESG) data management, analysis, and reporting. The primary focus of this role will be to ensure SIPEF’s group ESG data disclosures and greenhouse gas emissions reporting within the oil palm and banana industries, are compliant with European Union (EU) regulations, and aligned with the key rating agencies and sustainability reporting frameworks that SIPEF follows. The successful candidate will play a crucial role in collecting, analysing, and reporting data to support the Group’s commitment to sustainable practices and transparent ESG reporting for the Group and all its subsidiaries.

Locations:

Flexible within SE Asia preference given to Singapore and Indonesia.

This position will require occasional travel to and within Papua New Guinea and Indonesia.

Responsibilities:

1. Data Collection and Validation:

• Gather and validate ESG data from all subsidiaries, ensuring data accuracy, completeness, and consistency.
• Maintain documentation of processes and methodologies around data collection, ESG metrics/indicators and calculation methodologies.
• Collaborate with relevant internal stakeholders and departments to acquire required data such as, but not limited to environmental performance, social responsibility, and corporate governance.

2. Data Analysis & Management:

• Employ advanced data analytics techniques to extract insights from ESG data collected and identify trends, patterns, and correlations.
• Utilise statistical methods and data visualisation tools to present findings in a clear and actionable manner.
• Generate insights from large amounts of data and develop practical systems for relevant business users to access and visualize data insight.s

3. Greenhouse Gas Emissions Reporting:

• Oversee the accurate and timely reporting of greenhouse gas emissions in compliance with EU and other relevant legislation/regulations (e.g., EU Emissions Trading System, CSRD).
• Develop and maintain a comprehensive GHG emissions inventory and calculation methodology.

4. ESG Reporting and Documentation:

• Ensuring that the company’s sustainability reporting is aligned with relevant regulations and standards (ESRS, GRI, Sustainalytics, TCFD/SBTi etc).
• Keeping up to date with latest developments and best practices in sustainability impact measurement, reporting and impacts.
• Prepare regular ESG reports for internal and external stakeholders, including but not limited to executive teams, regulators, investors, customers and ESG rating agencies.

5. Compliance Monitoring:

• Monitor and collaborate with legal and compliance teams to ensure the Company’s ESG and GHG emissions reporting practices align with the latest EU regulations and requirements.

Qualifications and Skills:

The ideal candidate for this position should possess the following qualifications and skills:

Educational Background:

• Bachelor's or Master’s degree in data science, Environmental Science, Sustainability, Statistics, or a related field.

Technical Expertise:

• Minimum 5 years’ experience working with ESG datasets and sustainability metrics.
• Affinity with management of large datasets.
• Strong knowledge of data visualisation techniques and tools (e.g., Tableau, Power BI).

ESG/GHG and EU Regulations:

• Familiarity with EU regulations and frameworks related to ESG, sustainability, and greenhouse gas emissions reporting (e.g. ESRS E1 Climate Change).
• Understanding of carbon/GHG accounting methodologies and reporting frameworks (e.g., GHG Protocol, ISO 14064).

Analytical Skills:

• Ability to derive actionable insights from complex datasets and communicate findings effectively.
• Strong problem-solving skills and attention to detail in data analysis.

Communication and Collaboration:

• Proficiency in English required, in Bahasa Indonesian desired and French very welcome.
• Excellent written and verbal communication skills to convey technical information to both technical and non-technical stakeholders.
• Proven ability to collaborate and work effectively in cross-functional teams and countries.

Duration and Reporting:

This is a full-time position with an initial contract duration of 1 year before becoming permanent. The Data Manager will report directly to the Group Director of Sustainability.

Application Process:

Interested candidates should submit their updated CV, a cover letter outlining their relevant experience and qualifications, and any relevant work samples or projects via the job portal.

Deadline for Applications:

The deadline for applications is 31.12.2023. We are planning to fill this position in January 2024.

We look forward to receiving applications from skilled individuals who are passionate about making a positive contribution to sustainability in the agricultural industry through data-driven sustainability practices, and who have an understanding or interest to focus on sustainability related data regulations.

We regret that only shortlisted candidates will be contacted.

Responsibilities:

Team Leadership:

• Manage and provide strategic direction to the Pricing Team, Data Science Team, and Credit Scoring Team.
• Foster a collaborative and innovative work environment, encouraging knowledge sharing and professional growth.
• Set clear goals, objectives, and key results (OKRs) for each team and ensure alignment with company objectives.
• Provide guidance and mentorship to team members, supporting their career development and growth.

Data Science Strategy and Roadmap:

• Develop and execute a comprehensive data science strategy aligned with the company's vision and goals.
• Identify opportunities to leverage data science techniques to improve pricing models, credit scoring algorithms, and overall business performance.
• Collaborate with cross-functional teams, including Product, Engineering, and Operations, to define and prioritize data science projects and initiatives.
• Stay up-to-date with the latest advancements in data science and proactively identify new technologies and methodologies applicable to the used car industry.

Pricing Optimization:

• Lead the Pricing Team to develop dynamic pricing models and strategies for used car.
• Collaborate with stakeholders to understand market trends, competitive landscape, and customer behaviour to drive pricing decisions.
• Conduct pricing analysis and simulations to optimize revenue, profit margins, and inventory turnover.
• Monitor pricing performance metrics and provide actionable insights to stakeholders.

Credit Scoring and Risk Assessment:

• Oversee the Credit Scoring Team in developing and refining credit risk models and scoring methodologies.
• Collaborate with finance and operations teams to enhance credit risk assessment processes.
• Monitor and evaluate credit scoring performance, identifying opportunities for improvement and risk mitigation.

Innovation in Used Car Technology:

• Lead the exploration and implementation of innovative technologies and use cases in the used car industry. For example, Recommendation engines (Classical, graph based, tree based etc), Fraud Detection detection framework, Cross-selling identification and Propensity Modeling among others
• Identify emerging trends, technologies, and best practices to enhance the customer experience and operational efficiency.
• Collaborate with cross-functional teams to develop and prototype new features, services, or platforms.
• Stay abreast of advancements in areas such as artificial intelligence, computer vision, natural language processing, and Internet of Things (IoT).
• Foster a culture of innovation within the Data Science team, encouraging experimentation and creative problem-solving.
• Evaluate and implement new tools, frameworks, and methodologies to improve the efficiency and effectiveness of data science processes.

Requirements:

• Master's or Ph.D. degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related disciplines).
• Proven experience (10+ years) leading and managing data science teams.
• Understanding of used car automotive industry would be a plus.
• Strong background in machine learning, statistical modelling, and data analysis.
• Proficiency in programming languages such as Python and R, along with experience working with SQL databases.
• Excellent understanding of pricing optimization, credit scoring, and risk assessment methodologies.
• Experience in developing and deploying machine learning models in a production environment.
• Strong leadership skills with the ability to inspire and motivate a diverse team.
• Excellent communication and presentation skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
• Ability to drive data science strategies and initiatives aligned with business goals.

Roles and Responsibilities:

• Work closely with senior product managers and product owners to define the product vision, roadmap, and requirements for Artificial Intelligence (AI) Industrialization Tooling.
• Capture the requirements as user stories with clearly defined success metrics and acceptance criteria.
• Participate in key agile rituals (e.g., daily stand-up, backlog refinement, sprint planning, sprint review, etc) and work closely with Machine Learning (ML) engineers and product developers to ensure that the developers clearly understand the requirements.
• Track the product development progress and identify any potential risk and issues.
• Lead and conduct product UAT
• Clearly define UAT test scenarios and acceptance criteria
• Conduct test cases and document the test results with identified errors/issues
• Lead the communication with Machine Learning (ML) engineers and product developers to ensure the errors/issues identified during UAT are fixed before the release of the product.
• Collaborate with customer success team to develop product training materials
• Engage the analytics community and key stakeholders from different BU/SUs within the Bank to understand their requirements and priorities to ensure the product delivered under Artificial Intelligence (AI) Industrialization meets the real needs.
• Engage the analytics community within the bank to promote the products and drive for higher adoption and user satisfaction.

Skills and Qualifications

• At least Bachelor’s Degree in computer science, business analytics, statistics, or related fields
• 2 to 5 years of professional experience as a Product Manager/ Machine Learning (ML) Engineer/ Data Scientist
• Proficient with Python/Pyspark and SQL
• Demonstrated experience of applying data science and machine learning methods to real-world data problems
• Familiar with both Artificial Intelligence (AI) / Machine Learning (ML) Lifecyle (e.g., CRISP-DM) and Analytics software development lifecycle
• Familiar with popular data science workbench and tools like Cloudera Data Science Workbench, Amazon SageMaker, DataRobot, Dataiku, etc.
• Highly effective cross-functional team communication and collaboration

Interested Applicants, please email your resume to rupa.kankariya@manpower.com.sg (R1441955), stating the position as the subject title in the email. All Applications will be handled with strict confidentiality.