Sembian Balasubramanian · AI transformation · Strategic operations

Clarity that cascades from experience to AI strategy.

Strategic leader and hands-on builder across AI, platform engineering, strategic operations, digital learning and data visualization. I connect strategy, engineering, analytics and human-centered design to deliver governed AI platforms and enterprise programs, anchoring every initiative, workflow and process to a measurable business outcome. I pair architecture with cross-functional leadership and change management, so what I build gets adopted, not just launched.

  • Clarity Cascade · portfolio
  • Director, Medical Program Management · AbbVie
  • MCS AI & Data Science · MBA · MFA
  • PMP · CSM · CSPO · CUA
  • Chicago, IL
About me / Experience
2002 to today · press play
Fig. 1About me in three graphics: an experience roadmap from engineering and design through program leadership to AI transformation for Medical Affairs, the certifications I practice and the degrees behind them. Use the tabs or arrows to switch; press play to watch the roadmap grow.

Highlights

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Selected outcomes

  • 24+ yrsacross engineering, digital learning and Medical Affairs operations
  • 537+projects planned and tracked, with a $30M+ budget across five cost centers (2019–2026)
  • ~$12Min estimated cumulative cost avoidance from reuse, automation, vendor and evidence decisions
  • ~170validation rules and fact-checking gates in the Control Tower
  • −300 daysof development cycle cut by my patented security framework
  • 5,000+monthly active users on the PRONTO learning platform

Program scorecard · 2019–2026

From 2019 to 2026 I planned and tracked 537 projects for five therapeutic-area cost centers, with $30M+ in actual or forecast spend against a $29M plan.

  • $30M+Budget managed (actual and forecast)5 cost centers · 2019–2026
  • 537Total projectsEvery budget line in view
  • 41Advisory boards & group consulting$2.1M spend
  • 45Symposia$2.7M spend
  • 42Booths & exhibits$1.8M spend
  • 49Sponsorships & memberships$1.2M spend
  • 172Medical education projects10 project types · $8.6M spend
  • 36Distinct congresses67 congress-years · 133 congress projects · $4.8M

Projects are budget lines. Spend is actual or forecast for 2019–2026, rounded; symposia also count as medical education.

Flagship work

Three flagships that turn goals into outcomes

A governed AI platform that turns plans into funded decisions, launch dashboards that turn data into action, and one AI prioritization rule that turns evidence gaps into a ranked plan. Open the portfolio

  • Interactive demo

    Flagship platform · AI-enabled Medical Affairs operations

    MPM Control Tower

    One governed place for tactics, budgets, travel, approvals and investment decisions, with about 170 rules, knowledge graphs and MAESTRO agents behind every answer.

  • Interactive demo

    Launch dashboards · Data visualization

    Launch Excellence & Data Visualization

    Medical launch dashboards that put cross-functional launch signals on one page: initiation and titration, field medical engagement, adverse-event themes and a weekly performance view.

  • Interactive demo

    AI prioritization · Microsoft Copilot

    Gap Assessment & AI Prioritization

    One transparent prioritization rule for the Eye Care, TNT and Therapy Area 3 gap assessments (Anchor 6), developed with Microsoft Copilot in PowerPoint, Word and Excel, so every market ranks evidence gaps against strategic themes.

  • Interactive demo

    Stakeholder intelligence · Knowledge graph

    Stakeholder Intelligence Map

    Who shapes the evidence, not who publishes most: a 0–100 influence score on 11 transparent dimensions, a network map of guideline committees and the engagement gaps to close first.

Try it yourself

Six live demos to run in your browser

Simulated versions of the MPM Control Tower, MAESTRO, the Retina Evidence Hub, the gap assessment and the weekly launch dashboards run in your browser on invented sample data, with every screen and interaction, and the D3 data story is the live original.

  • Interactive demoMPM Control Tower summary dashboard, blurred

    Governed AI platform · sample data

    MPM Control Tower

    Sixteen working screens: tactics and risk, travel and expense, prioritization sliders, knowledge graphs, approvals, Asana and Smartsheet sync and MAESTRO agents.

  • Interactive demoMAESTRO home screen with its five modes

    Human-agent team · sample data

    MAESTRO agentic AI

    Five modes, a planner routing work to expert agents, visible tool calls, a coverage check and an LLM judge with one bounded retry, then a cited report.

  • Interactive demoAI Recommendation Agent scoring a paper at the user review step

    AI automation workflow · sample data

    Retina Evidence Hub

    Queue a source in Literature Library, watch a scripted agent review it step by step, approve it and publish it to a searchable evidence hub.

  • Interactive demoPriority heatmap comparing areas and affiliates

    Gap assessment · sample data

    Gap assessment & AI prioritization

    Score sample evidence gaps on a weighted framework, run a scripted AI prioritization, accept or override it and compare region and affiliate votes.

  • Live chartNarrative visualization of US causes of death, the annotated story view

    Data visualization · D3.js

    Narrative data visualization

    Three annotated scenes walk you through US causes of death from 2000 to 2017, then the chart opens up for you to explore 18 causes by gender and race.

  • Interactive demoSimulated weekly launch dashboard with a week slider, synthetic data

    Launch dashboards · synthetic data

    Medical launch dashboards

    Three weekly dashboards, cross-functional, field medical and performance, with a slider from week 1 to week 12 that moves every chart.

Questions

Frequently asked questions

Short answers about the work, the results and how to get in touch.

Who is Sembian Balasubramanian?

Sembian Balasubramanian is a portfolio, program and strategic operations director in biopharma, based in Chicago, who leads AI transformation and governance in Medical Affairs. His 24+ years span software engineering at Cognizant, digital learning at Abbott and Medical Affairs program management at AbbVie.

What does he specialize in?

AI transformation and adoption, governed generative and agentic AI with human review, portfolio and program management (PMO), Medical Affairs operations and launch readiness, congress and stakeholder intelligence, process mining, machine learning forecasting and data visualization.

What results has he delivered?

537+ projects and a $30M+ budget planned and tracked across five cost centers (2019–2026); budget variance cut 20% across $10M in portfolios with a random-forest model in production; about $12M in estimated cost avoidance (2011–2026, not audited); and sole inventor of US Patent 9,098,680.

What is the MPM Control Tower?

A governed decision platform for Medical Affairs leaders. About 170 validation rules compute every figure for tactics, budgets, travel, approvals and investment decisions, and generative AI explains the results through knowledge-graph retrieval instead of producing numbers.

Can I try the work myself?

Yes. Ten interactive demos run in the browser on synthetic data, including the MPM Control Tower, MAESTRO agentic AI, the Retina Evidence Hub, the gap assessment, launch dashboards, the SmartSync forecasting model, process mining, the Stakeholder Intelligence Map and a congress competitive intelligence notebook.

How does he use AI responsibly?

Rules compute the numbers, models forecast, and people make the final call. Agent outputs carry citations, missing sources are flagged rather than filled in, and medical reviewers approve what reaches leadership.

How can I contact him?

By email or LinkedIn, both on the Contact page. The site does not publish a phone number.

Case study

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Interactive view

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