Engagement Director

The AI & Data Engagement Partner – Life Sciences is a senior leadership role focused on Commercial domains — Sales, Marketing, Market Access, and Patient Engagement. The leader will drive client engagement, revenue growth, and delivery excellence across a portfolio of Life sciences clients. Responsibilities include consulting on business, data, and AI challenges; shaping and selling solutions; overseeing delivery; building high‑performing analytics teams;

and developing differentiated capabilities for Life Sciences Commercial functions.

You will spearhead thought leadership and strategy for implementing advanced analytics, AI/ML, and digital solutions that improve field effectiveness, brand performance, market access, and patient engagement outcomes. This role partners closely with India delivery leads, data/tech architects, and cross‑practice leaders to deliver high‑impact solutions.

Key Responsibilities

Client Engagement & Development

• Establish consultative relationships with C‑suite, Brand, and Commercial leaders by understanding business objectives and constraints.

• Lead opportunity identification, solution framing, and proposal development for omnichannel marketing, sales excellence, market access, and patient engagement programs.

• Orchestrate executive communications across discovery, data exploration, solution strategy, and delivery governance (MBRs/QBRs).

• Demonstrate excellent oral, written, and presentation skills—storytelling and value articulation.

Problem Solving & Data/AI Solutioning

• Translate commercial problems (e.g., HCP targeting, personalization, conversion/retention) into AI/ML‑enabled solution frameworks.

• Design end‑to‑end Data, AI, and Digital solutions integrating AI, Advanced materially, Data Engineering, MLOps, and Visualization.

• Apply structured thinking at strategic and granular levels; influence business and technology stakeholders to adopt data‑driven decisions.

Client GTM, Commercial Growth & Profitability

• Drive commercial and delivery excellence by managing operational and commercial metrics—Revenue, Gross Margin, Net Margin.

• Create and execute Incedo’s Data & AI sales strategy and GTM for key Life sciences Commercial clients (Pharma, Biotech, Med Devices).

• Be accountable for GTM execution and deliver net‑new Digital/AI sales revenue.

• Build a long‑term chemical pipeline to increase market share in Digital, Data & AI services and solutions for Commercial and Patient Engagement use cases.

• Own Gross Margin targets and ensure a high‑quality, profitable portfolio.

Domain Expertise (Life sciences – Commercial)

• Omnichannel Marketing & CRM:
Next‑best‑action, dynamic segmentation, content personalization, campaign optimization.

• Sales Excellence:
Territory alignment, call planning, incentive compensation, HCP targeting, forecasting.

• Market Access:
Payer analytics, pricing & contracting insights, formulary dynamics, patient affordability programs.

• Patient Engagement:
Digital health programs, adherence & persistence analytics, support services, real‑world engagement insights.

• Data Foundations:
Commercial data models (CRM, sales, claims, RWE), consent/privacy, compliance considerations.

Qualifications

•

Education:

Bachelor’s/Master’s in Engineering, Commerce, Economics, Mathematics, Statistics, or MBA from a top‑tier university.

•

Experience:

• 15+ years in Data/Data Science/Analytics in client management/consulting roles.

• 8+ years working with or consulting for Life sciences (Pharma/Biotech/Med Tech) Commercial functions.

• Proven track record in AI/ML solutioning for Commercial use cases and delivering measurable business impact.

• Strong stakeholder management, executive communication, and deal shaping

• Ability to build and lead cross‑functional teams across geographies; partner effectively with delivery, architecture, and product teams.

Seniority level

Director

Employment type

Full‑time

Job function

Consulting and Information Technology

Industries

IT Services and IT Consulting and Pharmaceutical Manufacturing

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