Associate Director, Development Analytical Reporting
- Compensation
- Not disclosed
- Location
- India - Hyderabad
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Not specified
- Posted
Skills
Must have
- Doctorate degree and 10+ years of relevant experience; OR Master’s degree and 13+ years of relevant experience; OR Bachelor’s degree and 15+ years of relevant experience.
- 4+ years of managerial or leadership experience, including direct management of people and/or leadership of a substantial technical, functional or cross-functional organization.
- Demonstrated experience leading clinical reporting, data visualization, clinical analytics, data management, programming, data science or digital-transformation capabilities in pharmaceutical, biotech
Nice to have
- Experience defining operating models, strategic roadmaps and governance for enterprise reporting, analytics, data products or clinical-development technology.
- Deep knowledge of the clinical-development lifecycle, integrated data review, EDC and external data sources, CDISC standards, data architecture, semantic models and data governance.
- Technical fluency with modern data, analytics and visualization ecosystems, including SQL, Python, R, SAS, cloud data platforms and business-intelligence tools.
- Track record of leading global transformation, influencing senior executives, developing leaders and delivering measurable improvements at portfolio scale.
- Experience governing AI-enabled solutions in a regulated environment, including human oversight, validation, explainability, privacy and security.
Full description
Career Category
Clinical Development
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Job DescriptionAssociate Director, Analytical Reporting
Department Name: Global Development Operations - Data Management
Role GCF: 6B
ABOUT AMGEN
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.
Let’s do this. Let’s change the world. In this vital role, you will provide strategic and organizational leadership for clinical analytical reporting, data-review technology and data-product capabilities across Global Development.
Building on Sr. Manager accountability for a delivery team, you will lead multiple teams or workstreams, set the multi-year capability and technology roadmap, govern the reporting portfolio and influence enterprise data and digital decisions. You will remain technically credible while operating primarily through leaders, strategic partnerships and portfolio-level decisions.
What you will doStrategy, operating model and organizational leadership
- Define and execute the analytical reporting strategy, target operating model and multi-year roadmap for clinical reports, dashboards, visualizations, advanced data-review tools and underlying data products.
- Lead and develop managers, technical leads and specialist teams; establish role clarity, succession plans, capability-building programs and a culture of quality, innovation, ownership and inclusion.
- Set portfolio priorities and resource strategy across studies, programs and strategic investments; make transparent trade-offs that optimize patient impact, delivery risk, scalability and enterprise value.
- Establish governance for intake, architecture, design standards, data definitions, validation, deployment, lifecycle support and retirement of analytical reporting solutions.
Enterprise clinical data-review capability
- Sponsor integrated, reusable solutions for patient-, study-, program- and portfolio-level data review, including medical and safety dashboards, operational risk indicators, cross-study analytics and review-ready data products.
- Provide strategic direction for clinical data curation, transformation, semantic models, lineage and accessibility so data can be responsibly reused across analytical solutions.
- Shape future-state architecture in partnership with Digital Technology, Clinical Systems, Data Architecture, AI & Data, Standards and Statistical Programming teams.