Manager, Commercial Analytics & AI (Life Sciences) — WNS, part of Capgemini · New York

I build intelligent systems that help organizations make better decisions.

Since 2021 that has meant life sciences — the last four years inside pharma commercial programs: the analytics, AI agents, and operating models behind how field teams plan, learn, and sell, built across engagements with AstraZeneca, Johnson & Johnson, ALK, and programs spanning Eli Lilly, Regeneron, Pfizer, Sanofi, Eisai, and BMS.

Open to senior roles across AI, analytics, product, and strategy.

Engagements & programs
  • AstraZeneca
  • Johnson & Johnson
  • ALK
  • Eli Lilly
  • Regeneron
  • Pfizer
  • Sanofi
  • Eisai
  • BMS

On the record

12+pharma brand and sales programs led across six major clientsresume · 2022–2026
2,000+field users rely on the KPI and insight layer I ownresume · 2026
~90%of manual drafting removed from recurring insight documents by an agentic workflow I builtresume · 2026
$200M+in tracked brand revenue supported by that KPI layerresume · 2026

How I work

  • Decisions are the unit of work

    A dashboard, a report, an agent — none of it matters unless a decision changes. I start every engagement by naming the decisions the system should make faster or better, and I design backward from there.

    Client leadership credited the work with directly supporting leadership decision-making — may 2026

  • Adoption is the real metric

    Shipped is not the same as used. I treat analytics like a product: onboarding, training, office hours, and versions. If the field doesn't open it on a Tuesday morning, it doesn't exist.

    Grew a J&J data product from 300 to 1,200+ active users; 2,000+ field users on the current platform

  • Make change cheap

    Pharma programs pivot constantly — new brands, new goals, new territories. I build a standardized core with configurable edges, so a pivot costs days instead of quarters.

    Re-architected 140+ fragmented reports into a 70/30 core-configurable framework; cut reporting build time 40%

  • Automate the toil, keep the judgment

    AI should absorb the work nobody defends — drafting documents, logging calls, reconciling data — and hand the judgment back to people. Every agent I ship has a human on the loop and a paper trail.

    Agentic workflow removed ~90% of manual document drafting; voice agents cut post-call admin ~70%

  • Show the receipts

    In a regulated industry, trust is the product. Signed release documents, documented data lineage, compliance checks in the workflow — every claim on this site is sourced the same way.

    An error-free record across regulated deliverables — each release signed off in writing

In their words

Mohit and [his program lead] have demonstrated exceptional ownership, rigor, and strategic thinking … Thank you for your professionalism, partnership, and flawless execution — we love working with you!
Senior Director, Learning SolutionsSyneos Healthformal partnership recognition · may 2026
Mohit's attention to detail and expert vision for evolving the dashboards into a centralized hub blew the client away. He masterfully translated our April on-site discussions into a tangible mock-up that perfectly captured the client's vision.
Senior Director, Learning SolutionsSyneos Healthformal partnership recognition · may 2026
Each and every time there is a pivot, a new ask, or a conceptual change to the design, [they] display the utmost degree of professionalism, added value within the work, and a collaboration that lets us all know we have true partners.
Program leader, Learning StrategyAstraZenecaunsolicited client note to program leadership · apr 2025
Your leadership and dedication truly stood out … The combination of comprehensive training sessions, ongoing office hours, and the upcoming touch-base meetings sets a strong foundation for the field to get the most out of our reports.
Vice President, Incentive CompensationSyneos Healthon a field enablement program · apr 2026

More recognition, awards, and the story behind the work →

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