Job Description
This role bridges the gap between business requirements, complex data streams, and actionable AI/analytical solutions. The role spans the full project lifecycle—from strategic problem definition and backlog grooming to technical delivery and operational deployment. You will work end-to-end with Product Owners, business managers, data engineers, software developers, data scientists to deliver critical data products that power business operations and evidence-based decision-making in a fast-paced, innovative environment.
Responsibilities
- Strategically coordinate with critical stakeholders and senior leadership to develop holistic product development/maintenance plans, ensuring on-time, high-quality launches.
- Manage comprehensive plans for complex, high-impact technical projects, ensuring on-time and high-quality delivery (using skills such as data acquisition, data engineering, programming, modelling and visualization) . Work closely with development teams to ensure products are built to specifications. Drive the adoption of software tools and manage end-to-end delivery, including CI/CD and production launches.
- Deep dive into complex technical issues to understand root causes, evaluate trade-offs, and propose strategic solutions. Anticipate technical hurdles and manage risks appropriately.
- Work with large, complex data sets using tools such as Python, SQL, Google Cloud Services, Hadoop
- Work with Data Scientist to develop and deliver analytic products on Generative AI (LLM models)
- Work with Data Scientist to d evelop and deliver analytic products using skills such as statistical analysis, machine learning, algorithm design, and interface development.
- Drive continuous improvement of the operational model by aligning work, capacity, and strategic objectives. Develop and track metrics to analyse product performance and user feedback to continuously drive product improvements.
- Lead and facilitate all product line agile ceremonies. Establish and champion organization-wide standards for Jira usage, advanced automation, backlog grooming, retro connects, and dependency management. Serve as the primary technical contact for project communications across cross-functional teams.
- Proactively identify, assess, and mitigate high-impact interdependencies and technical risks. Establish clear escalation paths for critical program and team blockers.
- Directly influence business scope and technical approaches through an in-depth understanding of both business outcomes and technical solutions. Define new organizational patterns for governance.
- Author and maintain robust project documentation (PRDs), including technical roadmaps, dependency maps, and change control audit trails, ensuring data integrity for accurate reporting and decision-making.
- Mentor and guide junior team members in effective collaboration and agile facilitation. Identify and champion opportunities to streamline workflows and reduce technical overhead.
- Serve as the primary contact for external project communications, explaining highly complex technical concepts to diverse audiences, from engineering teams to senior executives.
Qualifications
QUALIFICATIONS
- Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Engineering, or a related quantitative discipline.
- 5+ years of experience in program/product management methodologies (Agile, Scrum, or Waterfall) and their practical application.
- 2+ years of experience using project management tools, specifically Jira, for complex tracking, reporting, and dependency management.
- 2 + years of experience or other significant, independent project experience using analytical tools
- Familiarity with BigQuery, SQL, and visualization tools (e.g., PowerBI, Looker)
- Conceptual knowledge of predictive analytics techniques like Regression, Classification, Clustering, Tree-based algorithms etc.,
- Conceptual knowledge in one or more of the following domains: NLP, forecasting algorithms and deep learning etc.
- Technical ability to deep-dive into complex issues to understand root causes, evaluate trade-offs, and propose strategic solutions.
- An architectural understanding of data ecosystems, integration points, and future scalability needs.
- Proven experience in leading backlog grooming for complex technical products.
- Strong oral, written, and interpersonal communication skills, with the ability to translate technical concepts for non-technical stakeholders.
- Comfortable working in an environment where problems are not always well-defined.
Our Preferred Requirements
- 3+ years of experience in managing cloud-native AI, analytics, or big data products ( Python, SQL, and/or visualization/dashboard tools (such as Tableau, PowerBI ) )
- 3+ years of work experience in data mining, statistical analysis, modeling, optimization or similar analytics
- Expertise in advanced Jira configuration, automation, and reporting to support complex product line operations.
- Experience with CI/CD pipelines and familiarity with tools such as FOSSA, Cycode, SonarQube, GitHub Co-pilot.
- Proficiency in data visualization tools (e.g., PowerBI) to communicate product insights.
- Ability to quickly develop technical depth in new technologies to highlight risks and concerns effectively.
- Well-organized, self-starter, and capable of working with minimal supervision in a global team setup.
- Inquisitive, proactive, and interested in learning new tools and techniques to drive the adoption of best practices.
- Work experience in the automotive or manufacturing industry is a big plus.
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