Senior Manager - Data Strategy SME

Role: Senior Manager/Director, Data Strategy SME

Domain Expertise: Pharma Data Strategy, Data Governance, Data Architecture, Commercial Data Ecosystems, Advanced Analytics Enablement

Description:

You will be responsible for: We are seeking a dynamic and experienced Director to join our team who will play a pivotal role in understanding client requirements, assessing existing ecosystems, and leading the implementation for our pharma client.

Leading strategic data engagements with pharma clients, acting as the SME for commercial data ecosystems.
Understanding client business objectives and translating them into scalable data strategies and roadmaps. Assessing existing data landscapes including architecture, governance, quality, and integration capabilities. Designing future-ready data ecosystems that enable advanced analytics, AI/ML, and omnichannel personalization. Collaborating with cross-functional teams (analytics, engineering, commercial strategy) to ensure seamless implementation. Advising on data acquisition, enrichment, and harmonization strategies across internal and external sources. Driving data governance frameworks, metadata management, and compliance with industry regulations. Supporting analytics teams by ensuring data readiness for predictive modeling, segmentation, and optimization. Building reusable data strategy assets, frameworks, and accelerators for client engagements. Providing thought leadership through whitepapers, webinars, and internal capability development. Participating in business development activities as a data strategy expert in client pitches and solutioning.

Desired Profile:

Bachelor s or Master s degree in Data Science, Information Systems, Business Analytics, or related field.
12+ years of experience in pharma data strategy, with deep exposure to commercial analytics use cases. Strong understanding of pharma data sources (e.g., IQVIA, Symphony, claims, EMR/EHR, CRM, digital). Experience in designing and implementing enterprise data platforms, data lakes, and cloud-based solutions. Familiarity with data governance tools and frameworks (e.g., Collibra, Informatica, Talend). Exposure to enabling Gen AI, ML, and advanced analytics through robust data foundations. Excellent stakeholder management and communication skills, with the ability to influence senior leaders. Strong problem-solving skills and a proactive mindset to drive innovation and continuous improvement. Comfortable working in a fast-paced, matrixed environment with global teams.