As a Business Transformation Consultant with expertise in Data Analytics, you will serve as a strategic advisor to clients, helping them define their data and cognitive computing strategy. You will design and develop the business architecture of cognitive solutions, ensuring they align with the client's business functional requirements.
Your primary responsibilities will include:
• Define Client Requirements: Translate client needs into analytics and technical specifications for implementing cognitive computing solutions, ensuring proper translation of business requirements into solution requirements.
• Establish Key Metrics: Develop and establish key metrics to measure the success of cognitive computing programs, aligning with client business objectives.
• Lead Cognitive Computing Programs: Lead the process and organizational aspects of cognitive computing programs, ensuring governance and alignment with client goals.
• Develop Use Cases: Develop use cases for cognitive applications independently or in consultation with clients, demonstrating a deep understanding of the industry or domain area.
• Train Cognitive Systems: Filter and select structured data and unstructured content for input into cognitive systems, train cognitive systems, and establish the ground truth for cognitive engagement systems.
Required Professional and Technical Expertise:
• Deep Expertise in Data Analytics: Proven ability to design and develop business architecture of cognitive solutions, ensuring alignment with client business functional requirements. Experience with translating client needs into analytics and technical specifications for implementing cognitive computing solutions.
• Industry Domain Knowledge: Deep understanding of a specific industry or domain area, with the ability to develop use cases for cognitive applications independently or in consultation with clients.
• Cognitive Computing Strategy: Experience with defining data and cognitive computing strategy for clients, aligning with their business objectives and functional requirements.
• Technical Skills in Cognitive Systems: Ability to filter and select structured data and unstructured content for input into cognitive systems, train cognitive systems, and establish the ground truth for cognitive engagement systems.
• Business Acumen: Strong business knowledge with a solid foundation in data analytics, enabling effective communication with clients and stakeholders.
Preferred Professional and Technical Expertise:
• Advanced Data Analytics Tools: Experience with specialized data analytics software and technologies, enabling the development of sophisticated cognitive solutions.
• Industry-Specific Cognitive Applications: Familiarity with cognitive applications tailored to specific industries or domains, enhancing the ability to develop targeted use cases.
• Emerging Cognitive Technologies: Knowledge of emerging trends and advancements in cognitive computing, allowing for innovative solution development and strategic guidance.
