Commercial Strategy Consultant, Life Sciences

📋 Description

• Lead with a Consultant Mindset.

• Define project scope, develop structured methodologies, and guide clients through intricate commercial challenges.

• Conduct hypothesis-driven analysis — framing the issue, designing the analytical framework, and synthesizing findings into clear recommendations.

• Communicate with BLUF (Bottom Line Up Front) clarity to both technical and executive audiences.

• Grasp the strategic "why" behind client inquiries and convert ambiguous business needs into coherent analytical plans.

• Deliver Strategy, Insights & Commercial Planning.

• Design and implement qualitative and quantitative analyses to tackle brand strategy, market sizing, segmentation, and commercial effectiveness inquiries.

• Synthesize insights 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 strategies.

• Enable Dynamic Targeting and Segmentation to enhance commercial execution and HCP engagement.

• Define success metrics, monitor ROI, and present findings through structured QBRs and executive briefings.

• Apply Data & Analytical Depth.

• Evaluate client data maturity, workflows, and analytics infrastructure to design tailored solutions.

• Utilize health and claims data, prescribing data, and market research to create robust, insight-driven analyses.

• Interpret and apply prescribing metrics — including NBRx (New-to-Brand Prescriptions) and TRx (Total Prescriptions) datasets — to evaluate brand performance, track launch trajectories, and identify HCP targeting opportunities.

• Ensure adherence to data quality, privacy, and regulatory standards across all deliverables.

• Leverage knowledge of omnichannel strategy, Next Best Action (NBA) orchestration, and AI-enabled CRM workflows (Veeva/Salesforce).

• Drive Engagement & Account Success.

• Build trusted, long-lasting relationships across commercial, analytics, and leadership stakeholders within client organizations.

• Align cross-functional touchpoints between the client and ODAIA to ensure consistent strategic direction.

• Proactively identify growth opportunities and deliver value throughout the customer lifecycle.

• Manage Structured, High-Impact Projects.

• Lead requirements gathering, solution design, and project governance across multi-workstream engagements.

• Oversee timelines, risks, and dependencies while conducting effective, outcome-driven client meetings and workshops.

• Collaborate with internal ODAIA teams (Engineering, Product, Sales) to translate client feedback into platform and roadmap priorities.

• Enable Change & Adoption.

• Drive organizational and process transformations within client commercial teams, facilitating 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.

⛳️ Requirements

• 5+ years of experience in management consulting, strategy, or a client-facing analytics role — preferably within life sciences, pharma, or healthcare (e.g., Engagement Manager, Consultant, etc.).

• Strong understanding of commercial pharma: brand strategy, market access, launch planning, competitive intelligence, or commercial excellence.

• Proven ability to structure ambiguous problems, design rigorous analyses, and distill findings into actionable recommendations.

• Experience leading multi-stakeholder engagements with a high level of independence and accountability.

• Exceptional communication skills — capable of crafting compelling narratives for both technical and non-technical audiences.

• Proficient 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 advantage.

• Bachelor's or Master's degree in business, economics, life sciences, engineering, applied mathematics, or a related field.

🏝️ Benefits

• Meaningful stock option grants.

• Immediate enrollment in medical/dental benefits.

• Flexible time off policy.

• Remote-first flexibility with work-from-home options.

• Intentional, high-value in-person collaboration and social events.