Data Transformation Excellence Director

Description

Summary: This role drives country-level implementation and adoption of AstraZeneca's One Data Foundation, ensuring harmonized data products are used in decision-making. Highlights: 1. Lead market onboarding and ensure harmonized data product adoption. 2. Operate at the intersection of business, technology, and data governance. 3. Drive data transformation excellence in a global pharmaceutical environment. AstraZeneca is advancing its Commercial data transformation through the One Data Foundation, with a strong focus on harmonized, insight\-driven data products that empower better decision\-making across the globe. To support this vision, the GIBEX is establishing a cross\-functional suite of Level 2 and Level 3 data products across Customer Engagement and Brand Performance domains with potential scaling to further data products. The **Data Transformation Excellence Director** drives country‑level implementation, adoption, and continuous fit of One Data Foundation across selected markets. The role ensures harmonized L2/L3 data products are used in decision‑making, meet local needs, and provide structured feedback into global product roadmaps. Operating at the intersection of business, technology, and data governance, the manager defines and delivers scalable data assets that align with strategic KPIs, stakeholder needs, and technical standards. **Accountabilities** * **Market Deployment** * Lead onboarding of assigned markets to One Data Foundation L2/L3 data products * Align rollout timelines with global / regional waves * Own market readiness, go\-live coordination, and phases sign\-off * **Adoption \& Change** * Drive adoption with market leaders (BU Directors, IBEX/SFE, Omnichannel) * Embed ODF into business routines, reporting cadences, and decision\-making * Act as the primary ODF point of contact for markets * **Fit\-for\-Need \& Feedback** * Capture market\-specific needs and KPI nuances at L3 * Ensure alignment to global L2 standards and definitions * Channel structured, evidence\-based feedback to Global Product Directors * **Governance \& Value Tracking** * Track adoption, usage, and value realization * Identify risks and issues; escalate with mitigation proposals * Report progress and insights into regional / global governance forums * **Cross\-Functional Coordination** * Bridge markets with Commercial, IT, GBS, and Data teams * Translate market needs into structured, scalable requirements * Reinforce consistency while enabling market relevance **Essential** * Bachelor’s or Master’s degree in a relevant field * Minimum 5 years of experience in data product management, Sales Force Excellence, data strategy, or analytics leadership within matrixed environments in the pharmaceutical or related healthcare industry * Proven track record in delivering scalable and harmonized data products across commercial domains (e.g., Customer Engagement, Brand Performance) * Strong understanding of KPI frameworks, business metrics, and data governance principles * Ability to understand complex business requirements and translate them into structured, actionable data product deliverables * Demonstrated success in cross\-functional collaboration across business, technology, and data governance teams * Experience engaging regional and local stakeholders to drive alignment and adoption * Strong communication, facilitation, and stakeholder management skills, with the ability to influence at multiple levels * Familiarity with Agile delivery methodologies, product roadmaps, and backlog prioritization * Comfortable working in a Center of Excellence model across diverse geographies and teams **Desirable** * Experience managing commercial data strategies, roadmaps, and business alignment at regional or global scale * Familiarity with AstraZeneca platforms and tools (e.g., IMX, Veeva CRM, NextGen, Brain components, IQVIA data) * Hands\-on experience with data visualization and reporting tools (e.g., Power BI, Tableau, Qlik) * Understanding of omnichannel analytics and digital engagement measurement * Experience working with modern data architectures and platforms (e.g., Snowflake, Azure, Data Mesh) * Experience in leading workshops and steering committee interactions with senior stakeholders * Knowledge of data privacy, regulatory compliance, and pharma\-specific governance frameworks