Data Governance Digital Transformation

DENNIS JOE DAVID

Phone: 630-***-**** Email: **************@*****.***

CTO & Board Advisor AI & Cloud Strategy Leader Digital Transformation Architect Deep Tech Strategy Scalable Cloud-Native Practice & Architecture $100M+ Value Delivered via AI, Data & Cloud Innovation/ Engineering Seasoned Technology Executive with 20+ years of leadership across AI Engineering, Cloud Transformation, and Enterprise Data Strategy, driving innovation, operational efficiency, and business growth across telecom, fintech, and infrastructure domains. Proven track record in architecting large-scale platforms, leading cloud migrations, and building federated AI systems that enhance decision intelligence, reduce GTM cycles, and unlock multi-million $ in enterprise value.

Trusted C-Suite Advisor with a result-focused approach in delivering solutions across AIOps, FinOps & Deep Tech. Expert in cross-functional delivery across engineering, product, platform, and support teams with deep expertise in cloud-native architecture, data governance, vendor ecosystems and digital modernization. Adept at strategic divestitures, M&A tech diligence, and scaling critical infrastructure — including CDS platforms, analytics engines, and REIT-grade asset networks. Recognized for business-first technology leadership, client-centric mindset, and ability to guide complex transformation in high-stakes environments.

Core Competencies

- Innovation & IP Generation (Patents)

- ROI-Driven Program Management

- AI & Data Science Evangelist

- Big Data Governance & Innovation

- Enterprise-Scale Digital Strategy

- Set-up Cloud Practice

- Product & Platform Engineering Visionary

- Federated & Edge AI Specialist

- Hybrid Cloud & Data Lakehouse Expert

- Cost Saving / Optimisation

- Team Leadership

Key Profile Metrics / Professional Footprints

CTO Impact: Drove 125% topline growth and >15% profitability for a $200M organisation through AI & Cloud innovation.

AI-Led Growth Strategies: Delivered $50M+ in new revenue; revived failing programs with 15% faster GTM and $80M impact.

Scalability: Engineered CDS settlement engine to handle 10M+ transactions/hour.

GovTech Innovation: Launched ledger-based e-voting platform, increasing national AGM/election participation by 80%.

Product Design: Developed patented broker-dealer support devices managing 1M+ daily events.

Social Impact via AI: Built plant safety AI (ANI - Artificial Natural Intelligence) platform saving 3,000+ lives/year via edge/federated learning. Inventor of 4 IP and patents across critical innovation domains including…… End Point Secure OS Delivery on an Alien Network via Custom Network Boot – 2016 – 2017 (Patent Issued) Custom Encrypted Multistage OS Boot sequence on a remote desktop – 2017 – 2018 (Patent Issued) Price Time Priority Matching with Low latency over a 2G / 3G network – 2018 – 2019 (Patent Filed) Facial Recognition Model Training framework on a federated learning network – 2019 – 2022 (Patent Filed) EMPLOYMENT LANDSCAPE

Accion Labs, Pittsburgh Mar 2023 – Present Principal – Cloud & Data /AI Engineering

- Team Oversight: Managing a team of 20 people that included technical designers, developers, system analysts, and vendor personnel

- Tech Stack: PaaS/SaaS, Master Data Management, SOA, IAM, CRM, ERP, ESB, AWS, MuleSoft iPaaS, .NET Technology

- Strategic Vendors: Tidal, Informatica, Oracle, Data Dog, Trust Arc, Data Grail, Microsoft, Service Now, AWS Bedrock

- Value Delivered: Reduced monthly CAPEX from $12M to $4M for a Communication REIT client by driving cloud innovation, digital transformation, & divestiture initiatives.

Key Business Impact: Driving technology and financial due-diligence for company’s highest revenue generating business “tower business” initiatives while providing cross-functional leadership across 3 crucial support functions i.e., Engineering, Platform, and product & Support. Imperative in setting-up Cloud Practice for the organisation.

Key Projects & Impact Highlights:

● Client 1 (Telecom Infrastructure Giant): Served as Client Success Leader and Data Migration Specialist, building a real-time data processing pipeline. Enabled executive and operations-level BI reporting across 40,000 towers, 115,000 small cells, and 90,000 miles of infrastructure, dramatically improving OEE and reducing metro-scale connectivity downtime. Stack: Java, Python, Terraform, AWS, Aurora, RDS Oracle, Power BI

● Client 2 (AI Ops & Security): Delivered a Vertical AI Framework powered by AWS Bedrock, operationalizing an agent swarm of 35+ autonomous agents acting as AI-driven SRE & CISO functions. Elevated monitoring, compliance, and incident response across critical data and API infrastructure.

Focus: Agent-based Automation, AI Security, Observability, Bedrock LLM Ops

● Client 3 (EdTech Billing Transformation): Architected a Cloud Data Pipeline to migrate legacy OLTP systems into a modern cloud-based DW solution, enabling streamlined billing operations from 200+ education sites, improving data accuracy and processing speed. Focus: Cloud Migration, Data Modelling, Pipeline Automation

● Client 4 (FinTech - Anti-Money Laundering Platform): Acted as Data Architect for AML platform, integrating private and public Distributed Ledgers with cross-database social interaction data. Built a unified schema for detecting disparate financial behaviours, accelerating forensic insights for compliance teams.

Focus: Blockchain, Graph Analytics, AML Intelligence, Data Unification Asia’s Biggest Stock Exchange (NSE) Aug 2019 – Apr 2023 Deputy CTO / AVP – Technology Team Oversight: Guided a cross-functional team of 80+ experts spanning technical design, development, systems analysis, and vendor personnel Strategic Vendors: Collaborated with Microsoft, Google, Amazon & Government Agencies Tech Stack: PaaS/SaaS, Master Data Management, SOA, IAM, CRM, ERP, ESB, AWS, GoLang, C++, Postgres.NET Key Business Impact

● Transformed Customer Landscape: Orchestrated a strategic shift in customer base—partnering with C-Suite and cross-functional teams to transition from CPA-heavy clientele to capturing 20%+ of the national banking sector, significantly expanding enterprise market penetration.

● Modernized Platform Experience: Led end-to-end modernization initiatives that improved application and website response times by 27%, enhancing user experience and operational throughput for mission-critical systems.

● Pioneered Cloud Migration Efficiency: Engineered a Generic Database Migration Toolchain, enabling seamless AWS migration of on-prem Data Warehouses and setting the foundation for scalable, cloud-native architecture.

● Revolutionized FinOps Intelligence: Designed and implemented a real-time hybrid analytics platform in the cloud, unlocking dynamic FinOps reporting and accelerating data-to-decision workflows across the enterprise. Commodity & Property Auction Platform Aug 2016 – Jul 2019 Enterprise Cloud Solutions Architect

- Architecture and development of platforms supporting 12M+ endpoints and 10M+ daily transactions

- Data Volume Managed: Real-time ingestion of 3000+ data sources processing 100M+ records Key Business Impact

● Redefined Terminal Intelligence at Scale: Engineered mission-critical C++ components for network/input monitoring on a purpose-built Linux distro — enabling seamless operations across 10M+ broker terminals and 2M+ banker terminals, transforming real-time financial data infrastructure.

● Scaled Big Data Ingestion at Velocity: Built a high-performance Big Data platform that processed 100M+ records daily from 3,000+ diverse sources

— architected for agility, speed, and precision in data-intensive environments.

● Pioneered Predictive Analytics Engine: Developed an advanced analytics framework with real-time user profiling, outlier detection, and clickstream intelligence — delivering deep insights into candidate behaviour and boosting performance analytics for large-scale assessments.

● Fortified Data Governance & Privacy: Led as MDM Architect to implement PII data masking and National ID–based KYC integration — ensuring regulatory compliance, data security, and scalable identity resolution across millions of user profiles.

- Entrepreneurial Engagement -

Connected Wireless Devices Startup Jul 2011 – July 2016 Technology Leader - Enterprise Portfolio Architecture Key Business Impact

● Unified Fragmented Data Ecosystems: Spearheaded an enterprise-wide data foundation strategy that integrated siloed data lakes into a governed architecture — enabling seamless access, consistency, and trust via a 'Single Source of Truth' model and decommissioning legacy data marts to enhance analytics velocity.

● Pioneered IoT-Driven Analytics at Scale: Engineered and deployed a next-gen IoT & Mobile Analytics platform using Apache NiFi, Spark, Elasticsearch, and Cassandra — enabling real-time, high-scale data streaming and predictive insights across 10+ domains and 1000+ data entities.

● Architected Future-Ready Tech Blueprints: Orchestrated visionary technology roadmaps and target-state architectures, delivering cutting-edge proofs of concept that enabled long-term platform modernization and positioned the enterprise ahead of industry evolution.

● Democratized Enterprise Intelligence: Led the end-to-end development of the Product Electronic Data Warehouse (PEDW), unlocking trusted access to high-fidelity data for cross-functional stakeholders and embedding data accuracy at the core of enterprise decision-making.

* Additional roles and detailed experience available upon request EDUCATION & CREDENTIALS

MBA ( Finance ) - JBIMS, Mumbai, India

B.E ( Computer Science ) - Bharathiyar University,India

- Technical Skills -

AI & ML Platforms: TensorFlow, PyTorch, XGBoost, OpenAI GPT, LangChain, Claude Cloud & Data Platforms: AWS (SageMaker, Bedrock), Databricks, Spark, Airflow Data Science & Analytics: Python, SQL, Power BI

ML Ops & DevOps: MLflow, Kubeflow, Docker, CI/CD Pipelines AI Governance & Ethics: Governance Models, IBM AI Fairness 360, Custom Policy Frameworks Leadership & Agile Delivery: OKRs, Jira, Lean, Agile Practices Enterprise AI Solutions: Microsoft AI, AWS AI Services RESEARCH PUBLICATIONS

- Deep Learning Models for Modelling of Intelligent Drone Assisted Crop Monitoring System and Enhance Crop Yield (No.: 202*********)

- Machine Learning Based Approach to Predict the Political Determinants of Economic Exchanges in India (No.: 202*********)

- Artificial Intelligence Based Approach to Analyse the Therapeutic Effect of Drugs Obtained from Marine Sources in the Treatment of Cancer (No.: 202*********)

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