AI & Data Leader · CxO Advisory
I help life sciences leaders turn complex, regulated data into trusted assets, and put AI agents to work so medicines reach patients faster.
Where I deliver
Leading data strategy and enablement for a global biopharma development division.
Leading data strategy and enablement for a global biopharma development division.
AI agents that design, build, test and operate data products, with humans in the loop.
Quality, metadata, lineage and privacy standards that make enterprise data fit for agentic AI.
Turning data products into reusable business assets with clear owners and measurable value.
An Information Product Marketplace: governed access, metadata, telemetry, sharing, audit and observability.
AI‑assisted governance, with agents enriching business metadata across data products.
At a glance
I orchestrate AI‑driven business transformation for enterprise clients, translating executive vision into strategy teams can execute: governance frameworks, access management and observability systems that last.
Enterprise Data Strategy & Governance
I lead data strategy and enablement for Regeneron’s Global Development division. The framework covers agentic AI enablement, AI‑ready data, data quality, metadata management, data lineage and privacy standards.
Executive impact scorecard
AI Transformation
A digital transformation program for early clinical development that combines digital tools, AI and better ways of working, with one mission: bring medicines to patients faster.
Architecture Center of Excellence
Domain architects across early clinical development, regulatory and medical affairs, patient safety and program management, working alongside platform, enterprise, data and AI architects.
Product Development
Covers the full data product lifecycle: governance, access management, metadata, telemetry, data sharing, audit and observability. AI accelerators generate business metadata and build data products end to end.
Platform Modernization
Legacy warehouses and databases replaced with cloud‑native solutions, data silos removed, and self‑service tools and simpler processes for business users.
AI thought leadership
Five areas where I apply AI to change how data is governed, built and delivered.
Improve how EDC operates and how studies are designed and run, to bring medicines to patients faster.
Effective data management with governance controls for responsible AI use.
Agent‑driven design, build, testing and operation of data products.
Agent‑driven enrichment of business metadata for data products.
Agent‑driven requirements analysis, FDD, TDD, test scripts and JIRA task assignment.
Career
Selected work
The groundwork for today’s AI programs: two decades of enterprise data platforms, from on‑premise data lakes to cloud‑native lakehouses.
Assessment and roadmap for separating a business unit’s application services, using a common workflow and a repeatable factory approach to plan and run the separation across the enterprise.
An enterprise “data as a service” platform on Azure (ADLS, Databricks Delta Lake, ADF and Synapse), built on an enterprise data model to give analysts and data scientists a self‑service semantic layer over SAP data.
An on‑premise Cloudera enterprise data lake ingesting global ERP transactions, internal application data and third‑party point‑of‑sale feeds, with landing zones designed for security and performance.
A unified global view of trade promotions and their impact on supply chain, vendor inventory management, ROI and efficiency.
Expertise
“Arif is an excellent technical resource, manager, and counselor for his peers. He will always be supportive and seeks the best for his peers, while also leading by example and delivering beyond client’s expectations.”
Open to conversations about AI transformation, enterprise data strategy and leadership roles.
Based in Mason, Ohio · U.S. Permanent Resident · Authorized to work for any U.S. employer