Job Description & How to Apply Below
Location: Bengaluru
Location – Bangalore
Hybrid (3 days WFO)
seeking a highly experienced Commercial Pharma Subject Matter Expert (SME) with deep domain understanding of the pharmaceutical commercial model, business processes, data ecosystem, omnichannel capabilities, and the associated technology landscape—including AI/ML applications .
This individual will play a critical role in solutioning, accelerator development, proposal leadership, client discussions, and shaping our GTM strategy for commercial life sciences. The ideal candidate brings strong thought leadership, hands-on experience supporting commercial functions, and the ability to translate business challenges into scalable technology-enabled solutions.
Key Responsibilities
1. Domain Expertise & Thought Leadership
Serve as the commercial pharma domain authority across the vertical.
Bring expertise in key commercial functions, including:
HCP/HCO targeting & segmentation
Omnichannel / Next Best Action (NBA) engagement
Journey Orchestration & Analytics
Field Insights
Content Innovation
Patient services, HUB operations
Market access, payer analytics
Stay current on industry trends and evolving regulations
2. AI/ML & Technology Strategy
Translate commercial use cases into AI/ML-led accelerators , POCs, and reusable frameworks.
Guide data engineering, cloud, analytics, and digital product teams on aligning tech choices with commercial domain needs
Identify opportunities where emerging technologies—GenAI, NLP, automation, advanced analytics—can drive commercial value.
3. Solutioning & Accelerator Development
Lead design and development of reusable accelerators for commercial analytics, omnichannel orchestration, HCP journey insights, forecasting, and payer analytics.
Collaborate with engineering, analytics, design, and GTM teams to ensure accelerators are scalable and client-ready.
Create frameworks for value messaging, solution packaging, and differentiation in the market.
4. Proposal Leadership & Deal Support
Own the solutioning and response for RFPs, RFIs, and proactive proposals involving commercial life sciences.
Craft problem statements, approach narratives, case studies, and solution architectures.
Partner with pursuit leads, pricing teams, and account directors to position Marlabs as a strategic partner.
Participate in oral presentations, capability pitches, and workshops with senior stakeholders at client organizations.
5. Client Engagement & Delivery Support
Act as the trusted advisor for commercial data, analytics, and digital transformation conversations.
Lead discovery sessions, maturity assessments, and roadmap exercises with clients.
Bridge domain and technical teams to ensure delivery alignment with business expectations.
Support pilot/POC delivery and ensure value articulation to drive scaling.
Qualifications
Required
10–15+ years of experience in Pharma Commercial domain roles, consulting, or analytics-led engagements.
Hands-on understanding of commercial workflows, data flows, KPIs, and field force processes.
Experience working with data ecosystems
Demonstrated experience designing or overseeing AI/ML-driven commercial analytics solutions (e.g., targeting, omnichannel NBA, forecasting models, patient journey analytics).
Strong ability to convert domain problems into solution architectures and compelling proposals.
Excellent communication, storytelling, and senior stakeholder engagement skills.
Understanding of global commercial models (US + ex-US).
Key Competencies
Strategic thinking & storytelling
Deep pharma commercial expertise
Technology awareness (AI/ML, cloud, automation, digital platforms)
Cross-functional collaboration
Executive communication & client presence
High ownership and entrepreneurial mindset
Success Metrics
Win-rate improvement for commercial LS opportunities
Deal conversion through high-quality solutioning
Client satisfaction in domain advisory engagements
Internal enablement and thought leadership contributions
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