Data & AI Delivery Lead

Position
Job Title: Data & AI Product Delivery Lead R&D And Medical
Manager (Name, Job Title): Head of Data & AI Product Management and Delivery
Location: Cambridge
Type: Hybrid - Expected to be in office on Tuesdays and Thursdays

Summary / purpose of the position
The Global Digital IT (GDIT) division is dedicated to being the business partner of choice for digital, data, and technologies, delivering outstanding value at speed and scale for patients. In this transformative context, GDIT plays a crucial role in driving innovation and efficiency across the organization. Within GDIT, the Global Data & AI Division was established with the mission to act as a business enabler. This department is responsible for driving the strategic use of Data and AI across and enhance business interoperability.

The Data & AI Product Delivery Lead for R&D and Medical is a pivotal role within the Global Data & AI Division. This position acts as the primary liaison between this division, R&D and Medical Business Domains, and GDIT Business Partners for all data initiatives. The role ensures alignment with business priorities and maintains trusted relationships with stakeholders.

Key responsibilities include:
Facilitate communication and collaboration, ensuring alignment with business priorities.
Create and manage data initiative roadmaps, balancing innovation and industrialization.
Oversee the lifecycle of data initiatives, ensuring high-quality delivery and alignment with business strategy.
Act as Product Manager and Delivery Lead, defining vision and managing roadmaps.
Design and execute change management plans to drive adoption and address resistance.

Main responsibilities / job expectations

Data initiatives liaison and partnering for R&D and Medical
o 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.
o Establish and maintain a trusted and transparent relationship with R&D, Medical, GDIT Business partners, and the Global Data & AI functions.
o Facilitate communication and collaboration through thought leadership, subject matter expertise, quality solution design, partnerships, and orchestration of relevant data initiatives delivery.
o Act as a technical expert and trusted advisor, enabling full utilization of Data & AI platforms and Centers of Excellence. O Ensure an integrated end-to-end focus on data & AI solutions through the value chain.

Strategic Roadmap and Portfolio Management
o 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.
o 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.
o 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
o 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.
o 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.
o 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.
o Ensure Global Data & AI capabilities are fully leveraged to drive maximum business value and success.
o 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.
o Oversee MVP development, product scaling and operations, as well as security and compliance.
o Proactively identify and mitigate risks across all areas of responsibility.
o Collaborate with senior leadership and stakeholders at all levels, providing regular updates on progress, challenges, and successes. O Participate in steering committees and manage governance meetings as relevant.

Strategic initiatives management
o 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.
o Guarantee that delivered products and services align with customer needs and corporate objectives.
o 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
o 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
o 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
o Design and execute change management plans for data initiatives, including training, communication, and stakeholder engagement.
o 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.


Knowledge, abilities & experience

Master's degree in a relevant field such as Data Science, Computer Science, Information Technology, or a related discipline
7+ years of experience in the management of data initiatives products, if possible, in Life Science
Proficient in English


Key Technical Competencies Required

Experienced in R&D & Medical Data Transformation within the pharmaceutical industry
Experienced in Project and Portfolio Management in the field of Data & Analytics
Experienced in Agile methodology and software development lifecycle
Experienced in Change Management, including designing and executing change management plans
Proficient in Data Analysis and Data Management, including data analysis tools (e.G., SQL, Python) and data management platforms Skilled in AI and Machine Learning
Skilled in Software Engineering
Skilled in Cloud Computing and Platforms, including AWS & Azure
Skilled with Collaboration Tools, such as JIRA & Confluence
Skilled in UX/UI design
Capable in Technical Architecture and Solution Design