Commercial Strategy Consultant, Life Sciences
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-07-16
Listing for:
ODAIA Intelligence Inc.
Full Time
position Listed on 2026-07-16
Job specializations:
-
Business
Business Analyst, Business Intelligence, Business Systems & Technology Analysis
Job Description & How to Apply Below
Commercial Strategy Consultant, Life Sciences
(Internally Title Referred to as: Business Acceleration Partner)
What you will do Lead with a Consultant Mindset- Define project scope, develop structured approaches, and guide clients through complex commercial challenges
- Conduct hypothesis‑driven analysis—framing the problem, designing the analytical approach, and synthesizing findings into clear recommendations
- Communicate with BLUF (Bottom Line Up Front) clarity to both technical and executive audiences
- Understand the strategic "why" behind client requests and translate ambiguous business needs into coherent analytical plans
- Design and execute qualitative and quantitative analyses to address brand strategy, market sizing, segmentation, and commercial effectiveness questions
- Synthesize findings from primary research, secondary data sources, and ODAIA's AI platform into integrated, insight‑rich deliverables
- Support pipeline strategy and launch planning—including competitive landscaping, opportunity sizing, go‑to‑market frameworks, and targeting strategy
- Enable Dynamic Targeting and Segmentation to sharpen commercial execution and HCP engagement
- Define success metrics, track ROI, and present findings through structured QBRs and executive briefings
- Assess client data maturity, workflows, and analytics infrastructure to design fit‑for‑purpose solutions
- Leverage health and claims data, prescribing data, and market research to build robust, insight‑driven analyses
- Interpret and apply prescribing metrics—including NBRx (New‑to‑Brand Prescriptions) and TRx (Total Prescriptions) datasets—to assess brand performance, track launch trajectories, and identify HCP targeting opportunities
- Ensure compliance with data quality, privacy, and regulatory standards across all deliverables
- Bring working knowledge of omnichannel strategy, Next Best Action (NBA) orchestration, and AI‑enabled CRM workflows (Veeva/Salesforce)
- Build trusted, long‑term relationships across commercial, analytics, and leadership stakeholders at client organizations
- Align cross‑functional touchpoints between the client and ODAIA to ensure consistent strategic direction
- Proactively identify growth opportunities and surface value throughout the customer lifecycle
- Lead requirements gathering, solution design, and project governance across multi‑workstream engagements
- Manage timelines, risks, and dependencies while running effective, outcome‑driven client meetings and workshops
- Liaise with internal ODAIA teams (Engineering, Product, Sales) to translate client feedback into platform and roadmap priorities
- Drive organizational and process change within client commercial teams, supporting transitions to data‑driven decision‑making
- Educate stakeholders on analytical methodologies, best practices, and ODAIA's AI‑powered capabilities
- Ensure successful onboarding from sales handoff through sustained adoption and value realization
- 5+ years in management consulting, strategy, or a client‑facing analytics role—ideally within life sciences, pharma, or healthcare
- Strong command of commercial pharma: brand strategy, market access, launch planning, competitive intelligence, or commercial excellence
- Demonstrated ability to structure ambiguous problems, design rigorous analyses, and synthesize findings into actionable recommendations
- Experience leading multi‑stakeholder engagements with a high degree of independence and accountability
- Exceptional communication skills—able to craft compelling narratives for both technical and non‑technical audiences
- Proficiency in analytical tools (Excel, Access, or equivalent); hands‑on experience with prescribing datasets such as NBRx, TRx, and NRx; familiarity with visualization platforms (Tableau, PowerBI) and life sciences data sources (IQVIA, Symphony, claims data)
- Exposure to AI‑powered platforms, predictive analytics, or digital commercial tools is a strong asset
- Bachelor's or Master's degree in business, economics, life sciences, engineering, applied mathematics, or…
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