Data Management & Strategy - Life Sciences - Manager- Consulting - Location OPEN

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Technology - Data Management & Strategy – Manager – Life Sciences Sector

 

The opportunity

We are seeking an experienced forecasting leader with over 10+ years of experience who is passionate about all things commercial pharma. This role is focused on strategic forecasting and allied capabilities and hence candidate should have deep expertise in commercial analytics, strategic/financial forecasting and preferably demand planning/supply chain forecasting.

Areas of Expertise needed in Strategic Planning, Forecasting & Benchmarking, Market & GAP analysis, Financial Reporting, Market Entry Strategy, Commercial Analytics & Brand Development

 

As a Manager in Data Management & Strategy, you will lead the charge in technology transformation projects, aligning with strategic objectives to drive desired outcomes. You'll be the assurance to leadership, managing timelines, costs, and quality standards, while steering both technical and non-technical teams to deliver top-notch technology solutions and infrastructure.

 

Your key responsibilities

In this pivotal role, you will:

• Oversee the delivery of technology projects, ensuring adherence to methodologies like Agile and Waterfall, and mentoring team members.
• Drive continuous improvement and innovation, applying research, analysis, and best practices to advance processes and solutions.
• Manage complex technical initiatives, providing expert guidance, resolving issues, and achieving performance objectives across client service, risk management, and team development.
• Engage actively with clients, leading workstreams, and identifying opportunities to expand services.
• Spearhead RFP responses and manage engagement economics, including resource planning and budgeting.
• Travel as required to meet client needs and project demands.

 

Overall delivery

• Lead delivery of large client engagements be accountable for success of the delivery with very high quality and timeliness in an evolving business environment. 
• Strong functional knowledge in brand volume forecasts for both short-term and long-term strategic and operational planning. Solve regional and brand-level analytical challenges using quantitative approaches
• Deep understanding of forecasting algorithms (time series forecasting, patient flow), external datasets (e.g. IQVIA, Kantar, Komodo)
• Manage project budgets, timelines, and resources to ensure successful project delivery.
• Advise team on performing sensitivity analyses to identify opportunities and manage risks, enhancing forecast accuracy.
• Strong digital engineering, data science and/or data engineering experience working with life science clients
• Strong knowledge of AI technologies and frameworks
• Working experience with industry leading methods of delivery for digital, data and analytic products
• Help set and execute governance for engagements including performance scorecards, RACI, manage risk/mitigation etc.

 

Practice development

• Serve as a part of a leadership team at EY focusing on all things customer in pharma and helping build the practice to achieve future vision and goals.
• Contribute actively to points-of-view, POCs, proposals and selling materials to help win and close deals across horizontals and use cases
• Identify opportunities where EY can push frontiers for pharma clients in the customer space

• Stay up to date with th