> Markdown version of [/jobs/ext/2101364-jd-vice-president-life-sciences-commercial-solutions](https://www.wearedevelopers.com/jobs/ext/2101364-jd-vice-president-life-sciences-commercial-solutions). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # JD: Vice President, Life Sciences Commercial Solutions - **Company:** Saama Technologies Inc - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Governance, Program Design Languages, Salesforce.Com, Large Language Models, Data Analytics - **Published:** August 18, 2026 - **Apply:** https://www.dice.com/job-detail/0f4c66a9-e52c-49ec-9426-4fd23e2dfe49 ## About the Role * 15+ years in consulting and delivery within life sciences, with a majority focused on pharmaceutical/biotech commercial functions. Practice leader, principal, partner, or business unit leader experience at a consultancy, SI, analytics firm, or life sciences software company. * Deep, demonstrable subject-matter expertise across a meaningful span of the commercial spectrum. Strong candidates typically have real depth in several of: * Sales force operations - incentive compensation design and administration, goal setting, alignment, call planning, sales reporting, field analytics * Market access and managed care - rebate analytics, formulary strategy, GPO/IDN contracting, payer analytics, pull-through programs * Marketing and omnichannel - brand analytics, HCP targeting, campaign measurement, EHR/eRx programs, MLR workflow * Patient services and hub operations - support program design, hub and specialty pharmacy analytics, adherence * Commercial data platforms - IQVIA, Symphony/ICON, Komodo, claims and specialty pharmacy data, CRM/CLM, MDM, data governance, and transparency/compliance reporting (Sunshine Act / Open Payments) * A track record of selling: personally led or materially drove multi-million-dollar engagements to close, including pre-sales solutioning, pricing, and executive-level negotiation. You can point to specific deals and your role in them. * Experience leading delivery organizations at meaningful scale - 40+ practitioners, distributed teams, multiple concurrent Fortune 500 clients. * Applied fluency in modern AI and analytics: LLMs, RAG, agentic patterns, and the practical realities of deploying them in a regulated, validated pharma environment. You should be able to challenge a solution architecture, not just approve a slide about one. * Executive presence with the ability to hold a room of pharma senior leaders and be recognized as a peer. * Bachelor''s degree required; MBA or advanced degree preferred. Preferred * Prior P&L ownership for a practice, business unit, or offering portfolio. * Experience building a commercial practice inside an organization whose center of gravity was elsewhere - clinical, R&D, or technology. * Published thought leadership, analyst panel participation, or recognized industry speaking in commercial pharma forums (PMSA, CBI, Fierce Pharma, peer-reviewed journals). * Experience across therapeutic areas with distinct commercial models - oncology, rare disease, specialty, CNS, immunology. ## Description * Define and continuously sharpen Saama''s commercial analytics and AI portfolio - what Solutions we build, what we deliver as services, and where we partner. * Translate pharma commercial business problems into repeatable offerings, accelerators, and reference architectures rather than one-off custom builds. * Set the AI agenda for the practice: agentic workflows, LLM/RAG-based solutions, and ML applied to field force effectiveness, market access, omnichannel engagement, patient services, and commercial data foundations. * Own the offering roadmap in partnership with Product, Engineering, and Data Science, including build-vs-buy calls, pricing and packaging constructs, and the business case for each investment. * Maintain a differentiated point of view on the competitive set - the large SIs, the specialist analytics firms, and the data and platform vendors - and position Saama credibly against them. 2. Revenue growth with the sales organization * Partner with account executives and client partners as the domain and solution lead on enterprise pursuits: shaping opportunities, running discovery, designing the solution, building the pricing model, and defending the approach with the client. * Lead responses to RFPs, RFIs, and unsolicited proposals; own the technical and domain narrative in orals and final presentations. * Build and hold senior client relationships independently - Commercial Operations, Commercial IT/Digital, Market Access, Brand, Patient Services, and Data & Analytics leadership. * Carry accountability for bookings and revenue targets for the Commercial portfolio; expand existing accounts and open new logos across large pharma, mid-cap biopharma, and emerging biotech. * Support analyst and market-facing positioning (Everest Group, ISG, HFS and similar), conference presence, and thought leadership that generates qualified demand. 3. Consultative delivery leadership * Serve as the senior domain leader on delivery - not a figurehead. You will be in working sessions, reviewing solution designs, resolving escalations, and making judgment calls where the domain and the data are ambiguous. * Own delivery quality, client satisfaction, compliance and referenceability across the commercial portfolio. * Ensure solutions actually land: adoption, change management, and measurable business impact for the client, not just deployed technology. * Structure engagements for scalability - reusable assets, onshore/offshore delivery models, and margin discipline. 4. Practice leadership * Build, mentor, and retain a multi-disciplinary team of consultants, solution architects, domain SMEs, and analytics leaders across US and global delivery centers. * Establish the operating cadence - pipeline reviews, capacity planning, capability development, and hiring plans - required to scale the business predictably. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)