Executive Leader · Engineering · Strategy

Turning complex data into business outcomes.

Executive leader with 16+ years building credible outcomes for enterprises, scaling engineering organizations, data platforms, and strategy functions.

Experience
0+

Years leading

Certifications
0

Industry credentials

Focus
F500

Enterprise scale

Deepak Pai

Based in

Pittsburgh, PA · USA

Serving US Fortune 500 Enterprises

Executive Leader · Engineering · Strategy · Data and AI

Professional with over 16 years of modernizing digital systems, specializing in data ecosystems and digital transformation.

Building high-performing teams, fostering innovation, and delivering measurable business value.

Data & AI Strategy

Enterprise-scale

Enterprise Data Platform

Leadership

AI Product Management

End-to-end

Information Governance

& Compliance

Transforming Enterprise Systems · Elevating Data · Engineering Trust

Modernized Fortune Companies' Credit and Lending Platforms

Led a $30M lending platform overhaul, boosting processing capacity 60%, enabling real-time transactions for 10M+ customers, and launching 15 new credit products.

How

Re-platforming legacy origination and servicing systems onto cloud-native, API-first architectures with embedded regulatory controls, integrating external credit bureau and alternative data feeds, and driving executive alignment across Risk, Compliance, and Technology.

Built Resilient, Compliant Data Products and Ecosystems

Stood up an Information Governance CoE governing 2,000+ Critical Data Elements, improving governance maturity 40% and driving $5M in cost savings.

How

Operationalizing a federated data governance model aligned to BCBS 239, CCAR, and OCC Heightened Standards, certifying Critical Data Elements end-to-end with authoritative sources, lineage, and quality SLAs.

Translated Enterprise Strategy into Scalable Architecture

Executed terabyte-scale cloud migration to AWS for a top-20 global bank, cutting infrastructure costs 40% while establishing a scalable governance framework.

How

Defining target-state reference architectures for regulatory and external data domains, leading AWS-based data platform migrations with embedded controls for privacy, third-party risk, and data residency.

Reduced Operational Cost and Risk

Delivered $45M+ in cumulative cost reductions and lowered compliance expenditures 25% through a strategic credit risk framework targeting fraud and financial crime.

How

Rationalizing duplicative external data contracts and vendor feeds, automating control testing and issue management across the data lifecycle, and embedding AI-driven fraud, AML, and data quality monitoring.

Lead Teams Toward Engineering Excellence

Directed geographically distributed teams of 30+ engineers, architects, product managers, and DevOps professionals across Fortune 500 programs, maintaining 95%+ retention and developing individual contributors into team leads.

How

Building and leading globally distributed pods under a clear operating model, instilling disciplined SDLC, control, and change-management practices expected in a Tier 1 regulated environment, and developing senior ICs into accountable technical leaders.

Serving US Fortune 500 Enterprises

16+ years · Seasoned Engineering Leader

2011 to Present

Senior Engineering Leader

Fortune 500 Financial Services Enterprises · United States

Data and AI Strategy
Enterprise Data Platform Leadership
AI Product Management
Information Governance & Compliance
2011

Master's in Information Technology Management

Illinois Tech · Chicago, IL

2007

Bachelor's in Computer Science Engineering

CMRIT · Bengaluru, India

Research, keynotes and thought leadership.

IEEE Conference · 2026

ML for Student Dropout Prediction: Algorithmic Performance, Interpretability, and Fairness in East African Secondary Schools

IEEE Conference · 2026

FEMS-TTC-PPM: Multi-Layered AI-based Governance Framework for Financial Institutions

Keynote · AICCT 2025

Prompt Engineering Frameworks for Generative AI in Credit Analysis

Elsevier · 2025

Scholarly Article Review contributor

Selected initiatives & experiments.

AI Powered

Prop Wizard

Let AI do the heavy-lifting and deliver smart investment strategy on your real estate investment.

Product Management AI ML Cloud Native
Data Platform

Enterprise Data Lake

Built a scalable data lake architecture processing petabytes of financial data.

Data Engineering AWS Spark Kafka ML
AI / ML

Credit Risk Predictor

Advanced machine learning models for real-time credit risk assessment and fraud detection.

Python TensorFlow MLOps Real-time Inference

Core competencies.

Data Engineering 95%
AI/ML Strategy 88%
Cloud Architecture 85%
Leadership 95%
Product Management 85%
Governance 92%
Big Data Analytics 93%
GenAI / RAG 82%

16 industry credentials.

  • Certified Data Management Professional (CDMP)
  • AI Product Manager: Capstone Winner
  • SAFe 6.0 Product Owner
  • AWS Certified Solutions Architect (SAA-C02)
  • AWS Partner: Generative AI Essentials
  • AWS Certified Cloud Practitioner (CLF-C01)
  • IBM Watson Orchestrate
  • IBM Enterprise Design Thinking Practitioner
  • IBM Banking / Insurance Industry Solutions
  • PMI: Agile Certified Professional (PMI-ACP)
  • IBM Certified Solution Developer: DataStage V11.3

Let's build something impactful.

Based in Pittsburgh, PA. Working with enterprises worldwide on data, AI strategy, and engineering leadership.