- Leading creation of a development lifecycle for analytics data to liberate data development from legacy SDLC- Leading AI for Data initiatives, including use of AI for data governance (patent pending on machine learning and language models used to classify data at granular level) and use of agents for data product formation to meet needs of specific use case ("AI for data for AI")- Led design and development of delivery lifecycle for GenAI including red-teaming process for pre-trained language models- Led formation of Data Center of Excellence, creating FAIR AI-ready data products for AI use cases with complex data requirements using data-centric AI approach- Led development of AI-ML end-to-end delivery lifecycle for predictive AI- Led definition of governance and controls on AI development to accelerate delivery while increasing safety- Developed operational risk framework for on-going operation and management of AI-ML models

Advising banks and fintechs on data and analytics strategy. Advising technology firms on GTM strategy for financial services. Advising investors and analysts on the DSML space.

- Developed framework for industry vertical buildout and standard maturity model- GM of Financial Services industry vertical: #1 vertical in total revenue, #1 in Q4 revenue growth- Developed Go To Market strategy for banking and fintech: target sectors, unique value proposition foreach, target new accounts and accounts for revenue growth- Created all content, sales enablement, training, marketing collateral, webinars, blogposts, articles,eBooks, and whitepapers on industry value and best practices in AI and machine learning- Created deep use case library for banking and fintech and framework for selection of highest valueuse cases based on product mix, channels, client segments, markets, lines of business, strategy- New business development including pre-sales presentations to c-suite and line of businessexecutives to describe business value of AI and machine learning- Conducted AI for Executives training on business application of AI and machine learning for boards ofdirectors, senior executives, leadership teams

- Early stage client engagement, AI roadmapping- Presales engagement with bank/fintech executive leadership to articulate business value of AI/ML - Conducted classes on the use and value of AI and machine learning in banking- Demonstrated how automated machine learning works and how it can be leveraged to improve business performance- Helped banks identify opportunities to re-design business models, products, and channels to leverage AI/machine learning

Senior Vice President and Consumer Bank Data Officer- Built first BI/data office for SunTrust Consumer Bank ($4B revenue) supporting National Consumer Lending, Consumer Banking, and Private Wealth Management business lines- Conducted end to end data infrastructure and BI capability review, resulting in 23% savings by eliminating redundancy, automating delivery, and offshoring routine delivery, execution, and maintenance - Standardized BI delivery and usage throughout Retail Bank (10,000+ teammates in 1600 branches and 3 call centers) using Qlik, and throughout Private Wealth Management (1100 advisors) using Salesforce- Pioneered introduction of new technologies for data wrangling (Trifacta), BI delivery (QlikSense), data visualization (R, QlikView), text analytics (Python), and machine learning (Spark ML Lib and Nia)- Created data engineering framework for data scientist community, leveraging HDFS/Data Lake platform and Trifacta, using agile/iterative methodology which became SunTrust standard model- Led agile design and delivery of Digital Client Conversation Guide highlighted in earnings call, which SunTrust has used to proactively engage clients and capture data on life events and financial stressors- Led use of analytics to understand client complaints (with Python), to predict credit card use (with Spark), and to predict client needs (using Nia) based on client conversation and interaction data- Created automated data extraction, preparation, assembly and submission mechanism for Consumer Bank to satisfy CCAR, DFAST, BCBS239 requirements, which achieved zero error tolerance

Senior Vice President and Corporate Functions Data Officer- Led consolidated corporate data office supporting Chief Risk Officer, Chief Financial Officer, Chief Marketing Officer, and Chief Human Resources Officer- Led enterprise-wide Anti Money Laundering (AML) initiative, including implementation of real time risk assessment engine and due diligence framework for new client on-boarding using Actimize CDD rating engine establishing best in class compliance program at no additional cost to business lines- Led implementation of Actimize ERCM platform for suspicious activity monitoring, identification of high risk transaction patterns, investigation case management, and FinCen reporting- Designed and developed delivery of profitability metrics to line of business CFO’s with diagnostics tied to operational metrics, driving sustained performance improvements- Led implementation of IBM Interact based real time offers (RTO) system to customize client offer presentment in digital channels based on client analytics- Led implementation of WorkDay HR system- Developed enterprise data maturity model used to benchmark and set minimum maturity levels for Data Offices in all lines of business- Managed $150m technology investment portfolio, $50 million expense budget

Senior Vice President, Consumer Banking Information Office- Asked to create Business Information Office for Consumer Banking and Private Wealth Management driving BI, data, analytics, and technology investment strategy across largest segment of the company- Transformed delivery of data across Consumer Bank lines of business, from fragmented, incomplete, and unreliable to cohesive, comprehensive, and dependable- Transformed fragmented groups with poor morale and notorious quality, timeliness, and responsiveness issues into high performing team- Attracted new talent and reduced previously high attrition rate in one year to zero

Senior Vice President, Risk Management Information and Technology- Led design and development of all SunTrust Risk Management data platforms, analytics, risk aggregation and reporting including credit, counterparty, operational, market risk, as well as AML and liquidity risk- Developed standardized risk models used for underwriting, risk assessment, credit approval, and portfolio monitoring- Created uniform credit management operating model and standardized use of information and analytics across all lines of business, products, and geographies for $200B portfolio- Led first successful enterprise data governance program at SunTrust, establishing data quality metrics, data standards, data policy, controls, master reference data, and business rules- Created shared Risk and Finance data architecture for all regulatory and financial reporting- Built Loan Loss Reserve and Capital Adequacy models and board of directors quarterly reserve and capital adequacy and loss analysis- Created consolidated corporate risk analysis still in use at board, corporate, and business line executive levels and used for all regulatory disclosures- Reduced expenses 40% by offshoring operations, maintenance, and change management, and transitioning all technology support to Corporate IT

- Managed design and development of risk data aggregation and reporting architecture to consolidaterisk position information across 100+ systems in 20 countries- Sponsored and managed initiative to upgrade credit risk technology used to manage $200 billionportfolio to scalable/high availability platform resulting in improvement in system up-time from 60%to 99.9%, 60% improvement in time to delivery of critical information, and ability to integrateacquired portfolios in <30 days- Led the implementation of the Algorithmics system for managing $150 billion in trading risk including$1 trillion notional foreign exchange book- Developed and completed comprehensive re-engineering of capital markets risk managementfunction integrating credit approval with trading systems for pre-deal check in real time