Job Description Summary
#LI-Hybrid
Location: Hyderabad, India
About The Role
The Andromeda & Governance Enablement (“AGE”) Delivery Lead ensures that AGE capabilities across data, automation, reporting, and simulation are delivered with predictable quality, scalability, and alignment to enterprise priorities.
The role translates AGE strategy into decision-ready platforms and outputs, supporting portfolio simulation, valuation, governance decision-making, project tracking, and data foundations for advanced analytics.
Operating both as a team lead and individual contributor leading projects, the role combines team leadership and development with direct ownership of delivery, ensuring Hyderabad-based team members (5-6 people) as a scalable execution engine embedded within the broader Enterprise Portfolio Insights and Strategy & Growth ecosystem.
Job Description
Key Responsibilities
Leadership & enterprise integration
- Lead, coach, and develop Hyderabad associates across data, automation, reporting, and simulation capabilities, fostering a high-accountability and growth-oriented environment
- Act as the primary point of contact for AGE in Hyderabad, strengthening connections with EPI and broader enterprise stakeholders and ensuring alignment to enterprise priorities
- Translate AGE priorities into clear delivery focus and resource alignment, ensuring work concentrates on enterprise value rather than fragmented demand
- Showcase the value of Hyderabad deliverables and build trust and adoption across S&G stakeholders
- Enable a matrix-first operating model, empowering senior contributors while maintaining clarity of priorities and accountability
Delivery ownership & impact
- Independently own and deliver priority initiatives aligned to AGE’s enterprise roadmap
- Translate complex business needs into clear deliverables, sequencing, and acceptance criteria ensuring outputs are decision-ready, reusable, and scalable
- Partner across AGE team to ensure alignment with enterprise standards and avoid fragmentation
Scalable execution & operational excellence
- Ensure predictable, high-quality delivery through clear prioritization, strong quality controls, and well-defined ownership and “definition of done”
- Drive scalability and efficiency by embedding automation, reuse, and simplification, progressively reducing manual effort and enabling repeatable, decision-ready outputs
- Act as a collaborative delivery partner across AGE and S&G, applying strong program and change management practices to translate designs into scalable, adopted, and supported capabilities
Essential Requirements:
- University degree in Informatics, Computer Sciences, business or similar, Bachelor’s degree in IT/Business administration
- Experience or demonstrated potential in coaching others, enabling senior contributors, or leading workstreams in a matrix environment
- Hands-on 5+ years product/project/program/portfolio management and delivery experience leading medium to large scale, technology enabled, AI initiatives, digital solutions and products
- Good understanding of the drug discovery and development process
- Experience in product design methods to drive clear requirement definition
- Well versed in handling clear and concise communication with different stakeholder groups
- Strong program and change management capabilities, with experience translating complex initiatives into structured, scalable delivery and adoption
- Demonstrated curiosity and adoption of AI and automation capabilities, leveraging them to enhance delivery, reduce manual effort, and enable scalable, decision-ready outputs
- Fluent spoken and written English, other language(s) are an additional asset
Desirable Requirements:
- Agile in managing changing priorities and ability to navigate and resolve conflicting priorities
- Strong cross-functional matrix leadership experience with demonstrated ability to establish strong partnerships without formal authority
- Experience with SQL database queries and/or one or more programming languages.
Skills Desired
Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis
