Note: The job is a remote job and is open to candidates in USA. ODAIA is a company that delivers AI-powered commercial intelligence for life sciences, aiming to enhance care for providers and patients. The Commercial Strategy Consultant serves as a trusted advisor to pharma and life sciences clients, translating market dynamics and commercial data into actionable recommendations to improve client engagement and strategy execution.
Responsibilities
- 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
Skills
- 5+ years in management consulting, strategy, or a client-facing analytics role — ideally within life sciences, pharma, or healthcare (e.g., Engagement Manager, Consultant, etc.)
- 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)
- Bachelor's or Master's degree in business, economics, life sciences, engineering, applied mathematics, or a related field
- Grand vision, low ego, and a genuine drive to make an impact for patients and healthcare systems
- Exposure to AI-powered platforms, predictive analytics, or digital commercial tools is a strong asset
Benefits
- Meaningful stock option grants
- Immediate medical/dental enrollment
- Flexible time off
- WFH flexibility with intentional, high-value in-person collaboration and socials
- Health benefits, stock options, and flexible time off policies as mentioned above
Company Overview