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Incedo Inc.

Engagement Director

Incedo Inc., San Francisco, California, United States

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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/MedTech) 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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