Enterprise technology,
delivered with certainty.
I'm Sriram — an Enterprise Technology & AI Consultant with 22+ years turning complex data programs into governed platforms, executive clarity, and measurable business outcomes. Fluent in both the boardroom and the semantic model.
Sriram Anantha Padmanaban
Enterprise Technology & AI Consultant · Bengaluru, India
Two decades delivering for global enterprises
A rare operator who is fluent in both the boardroom and the semantic model.
Sriram Anantha Padmanaban is an enterprise technology and AI consultant with 22+ years delivering data, analytics, and platform programs for global retail, financial services, and — most recently — healthcare payer and evidence-generation organizations.
He operates at the intersection where most transformations fail: between C-suite intent and engineering reality. He is equally credible chairing a steering committee and architecting a Power BI semantic model or a Snowflake cohort pipeline — which is precisely why he is trusted to own delivery risk end to end.
His current focus is healthcare RWE / HEOR and payer analytics, where he leads concurrent engagements on Snowflake, Power BI, and Azure while running disciplined program governance — JIRA hierarchies, WBS-driven planning, RACI, and Center-of-Excellence frameworks.
Six disciplines, one operator
Most consultants pick a lane. The value is in combining them — strategy that is technically credible, and engineering that is commercially literate.
Healthcare Data & Payer Analytics
HEOR / RWE program delivery and Medicare/Medicaid cohort analytics built to payer reporting standards.
- HEOR / RWE program management for biopharma evidence generation
- Medicare/Medicaid cohort & member-month analytics (PMPM, MM)
- HEDIS-adjacent quality measures — PPC, Well-Child, Immunizations
Enterprise Analytics Architecture
Semantic modeling and platform consolidation that make a single source of truth actually usable.
- Power BI semantic modeling (PBIP, DAX) at enterprise scale
- Snowflake, Azure Synapse, Databricks, Data Factory, Oracle ADW
- Row-Level & Object-Level Security (RLS / OLS) governance
Technical Program Leadership
The delivery discipline that converts ambitious roadmaps into shipped, on-time outcomes.
- JIRA hierarchies — EPIC / Story / Task / Sub-Task
- Five-level WBS as a single source of truth for scope & effort
- Agile / Scrum / Kanban, release & change management
AI Transformation & Product
From AI-enabled healthcare capabilities to founder-led product ventures.
- AI patient identification & care-gap closure workflows
- Clinical screening and automated scheduling capabilities
- AI readiness strategy for human-centered adoption
C-Suite Advisory & Governance
Steering-committee facilitation and stakeholder alignment that de-risk investment decisions.
- C-suite executive reporting (RAG, milestones, risks, decisions)
- Steering committee facilitation & board-ready narratives
- Vendor management — Microsoft, Oracle, Algonomy, BlueYonder
Cloud Data & Modernization
Modern data stacks and decommissioning strategies that cut cost while raising capability.
- Azure Data Lake consolidation of 50+ sources
- Modern data stack: dbt, DuckDB, TUVA health-data model
- Legacy decommissioning with hard-dollar savings
Case studies that moved the number
Executive-grade programs across healthcare, retail, and financial services — with the outcomes to match.
Not just advising — building
A founder as well as a consultant. These ventures are where the philosophy becomes product.
What premium delivery actually buys you
Boardroom-to-model fluency
Few consultants can chair a C-suite steering committee and then architect the semantic model underneath the numbers. I do both — which removes the translation layer where cost and risk usually hide.
Delivery risk is my product
Two decades of five-level WBS, RACI, and JIRA governance mean your roadmap ships. On myPCT, two modules landed across two releases with zero critical-path slippage.
Healthcare-grade rigor
Payer reporting is unforgiving. I validate against source-of-truth tables, catch denominator methodology gaps, and deliver to HEDIS-adjacent and HITRUST-context standards.
Outcomes, not artifacts
3–5% sales growth, 4.5% margin improvement, 1,000+ man-hours/month automated, $20K/yr in decommissioning savings — I measure success in the business's terms.
A stack that spans strategy to shipping
From enterprise semantic models to the modern open data stack and full product engineering.
BI & Semantic Modeling
- Power BI (PBIP, DAX)
- Tableau
- SAP BusinessObjects
- QlikView
Cloud Data Platforms
- Snowflake
- Azure Synapse
- Databricks
- Azure Data Factory
- Oracle ADW
Modern Data Stack
- dbt
- DuckDB
- TUVA Health
- MongoDB
- MySQL
Product & Web
- Next.js
- TypeScript
- React
- Laravel
- Cloudflare R2
Delivery & Governance
- JIRA
- WBS / RACI
- Agile · Scrum · Kanban
- CoE Frameworks
Domains
- Healthcare Payer / RWE
- Retail
- Capital Markets
- AI Transformation
The platforms, drawn honestly
Reference architectures distilled from real programs — from raw claims to the decisions executives make on top of them.
Healthcare Analytics Platform
Enterprise Reporting Architecture
Not just advising — shipping code
A consultant who still writes the commit. Product ventures and this very site are built and versioned in public across two GitHub namespaces.
Ideas worth a partner's time
Have a program that can't afford to slip?
Whether it's a healthcare data platform, a stalled transformation, or a fractional-CTO mandate — let's talk about de-risking it.