Must Have
- 15+ years of pharma industry experience with depth in key functional areas.
- Strong understanding of pharma data ecosystems: claims, prescriptions, patient services, CRM, digital, field, medical engagement, etc.
- Experience working at the intersection of business, data, analytics, and AI.
- Background in consulting, solution roles, or product-led organizations preferred.
- Comfortable being both strategic and hands-on.
- Proven ability to influence senior stakeholders without authority.
Key Responsibilities
1. Business & Domain Leadership
- Bring deep expertise across pharma functional areas (Market Access, Patient Services, Commercial Ops, Medical Affairs, Omnichannel, etc.).
- Anchor Data & AI solutions in end-to-end workflows, decisions, and KPIs.
- Ensure solution design aligns with upstream data sources and downstream business consumption.
2. Solution Shaping & Offering Development
- Translate AI, GenAI, and analytics capabilities into business-ready solution offerings.
- Define use cases, business logic, success metrics, and adoption pathways.
- Play a hands-on role in solution architecture, feature definition, and prioritization.
- Ensure offerings are scalable, pragmatic, and monetizable.
3. Client Engagement & Revenue Enablement
- Act as a senior domain advisor to business leaders.
- Support pursuits through problem framing, solution storytelling, workshops, and value articulation.
- Maintain personal billability via advisory, solution leadership, or delivery roles.
- Improve win rates by bringing credibility, relevance, and strong business fluency.
4. Business Storytelling & Executive Narratives
- Craft compelling narratives connecting data, AI, and business outcomes.
- Translate complex analytics constructs into clear, decision-oriented executive stories.
- Influence stakeholders through clarity, not jargon.
