Data & AI product delivery Lead - R&D & Medical

Key Responsibilities

• Data Initiatives Liaison and Partnering: Facilitate communication and collaboration, ensuring alignment with business priorities.
• Strategic Roadmap and Portfolio Management: Create and manage data initiative roadmaps, balancing innovation and industrialization.
• Data Initiatives Delivery Supervision: Oversee the lifecycle of data initiatives, ensuring high-quality delivery and alignment with business strategy.
• Managing Strategic Initiatives: Act as Product Manager and Delivery Lead, defining vision and managing roadmaps.
• Change Management: Design and execute change management plans to drive adoption and address resistance.

Main Responsibilities

• Data initiatives liaison and partnering for R&D and Medical: Serve as the main point of liaison between the Global Data & AI Division, R&D and Medical Business Domains and GDIT Business Partners for all data initiatives in Global Data & AI division scope, ensuring alignment with business priorities.
• Establish and maintain a trusted and transparent relationship with R&D, Medical, GDIT Business partners, and the Global Data & AI functions.
• Facilitate communication and collaboration through thought leadership, subject matter expertise, quality solution design, partnerships, and orchestration of relevant data initiatives delivery.
• Act as a technical expert and trusted advisor, enabling full utilization of Data & AI platforms and Centers of Excellence.
• Ensure an integrated end-to-end focus on data & AI solutions through the value chain.

Strategic Roadmap and Portfolio Management

• Collaborate with R&D, Medical, GDIT Business Partners, and the Global Data & AI functions to create data initiatives roadmaps and visions that address current and future business needs, balancing innovation and industrialization.
• Manage the portfolio of Data & AI initiatives to accelerate the delivery of business value, focusing on long-term, high-impact projects that align with the organization’s strategic goals.
• Forecast and plan the delivery pipeline in alignment with business and delivery teams, prioritizing initiatives based on business value and feasibility.

Data Initiatives Delivery Supervision

• Oversee the entire lifecycle of Data & AI initiatives for R&D and Medical, from initial demand to operational handover and drive adoption through the delivery of high-quality and high-value data factory initiatives.
• Collaborate with business functions to identify critical data use cases and translate business needs into data requirements, ensuring alignment with the overall business and GDIT strategy.
• Facilitate the definition and assessment of functional requirements, product specifications, architecture blueprints, data feasibility and best delivery options, ensuring the availability of necessary resources in line with initiative plans and budget.
• Ensure Global Data & AI capabilities are fully leveraged to drive maximum business value and success.
• Build cross-functional teams to address business needs and engage with all delivery partners to ensure on-time, on-budget, and on-quality delivery, as well as value realization.
• Oversee MVP development, product scaling and operations, as well as security and compliance.
• Proactively identify and mitigate risks across all areas of responsibility.
• Collaborate with senior leadership and stakeholders at all levels, providing regular updates on progress, challenges, and successes.
• Participate in steering committees and manage governance meetings as relevant.

Strategic Initiatives Management

• Serve as the Product Manager and Delivery Lead for specific Data & AI initiatives, defining vision, managing roadmaps, and overseeing product and initiative lifecycle from conception to delivery.
• Guarantee that delivered products and services align with customer needs and corporate objectives.
• Apply product development best practices, such as user-centric design, agile methodologies, effective prioritization, cross-functional collaboration, KPI measurement, product roadmaps, balancing technical debt, and fostering experimentation.

Data Management

• In collaboration with the other Data & AI functions, oversee the quality, consistency, and integrity of R&D and Medical data leveraged and delivered by Data & AI initiatives.
• Contribute to master data processes specific to R&D and Medical, supporting compliance with data governance policies and frameworks for the Business Domain.

Change Management

• Design and execute change management plans for data initiatives, including training, communication, and stakeholder engagement.
• Work closely with R&D, Medical and GDIT Business Partners to drive adoption of new data initiatives and platforms across the organization and address concerns and resistance to change.