Title: Senior Manager - Data Strategy SME
KA, IN
Job Description
Must Have
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.
Good to have
EQUAL OPPORTUNITY