Dec 2020 – Feb 2026 · 5 yrs 2 mos · Miami-Fort Lauderdale Area

• Senior-level leader in the management consulting practice focused on enabling artificial intelligence (AI) at large corporations and private equity portfolio companies. Play three major roles to help grow the practice: advisory on consulting engagements, head of the AI R&D program, and practice development.
• Advisory on Consulting Engagements: Interface with customers across various industries, drive new business development, and ensure successful delivery of transformational engagements.
• Head of AI R&D: Manage the end-to-end R&D process from ideation and innovation to incubation. Evaluate market needs and identify innovative areas of research in the AI space that can address those future needs.
• Practice Development: Create growth strategy for the practice through design and development of innovative service offerings. Spearhead practice-wide development of thought leadership content and overall go-to-market strategy.

Jun 2017 – Dec 2020 · 3 yrs 6 mos · Miami-Fort Lauderdale Area

• Leader on the consulting services practice focused on two areas: management of consulting engagements and establishment of the firm’s AI R&D practice.
• Management of Consulting Engagements: Led artificial intelligence (AI) and enterprise architecture engagements across various industries (healthcare, automotive, consumer packaged goods, financial services). Managed ~10-person teams that drove transformational capabilities for our customers. Created new consulting-services offerings on machine learning operations (MLOps) and enterprise architecture.
• Establishment of the AI R&D Practice: Developed company's first-ever AI R&D program. Grew and expanded the program across WWT’s service offerings. Led company-wide meetings of 50-100 people, designed an incubation program, and spearheaded the University Research Partnership.

Jun 2015 – May 2017 · 1 yr 11 mos · Greater New York City Area

• Worked on the centralized analytics team to develop innovative, data-driven solutions for the bank. Led a cross-functional team of data scientists, developers, technologists and strategists to identify business challenges and apply machine learning models and analytics to solve them. Worked across the end-to-end “stack” designing analytical solutions, data architecture, data governance, and platforms.
• Commercial Bank Initiative: Envisioned the commercial-banking insights engine that provided bankers with just-in-time industry analytics for their clients. Collaborated with bankers to define industry- and client-relevant insights. Implemented the first version of the tool and led beta-testing across three industries (farming equipment, sports apparel, and manufacturing).
• Global Technology Initiative: Drove the vision and design for the firm’s data-services platform with a cross-functional team of technologists. Bridged the gap between lines of business to create a data-platform architecture that was robust enough to handle various challenges, but customized for specific problems faced within each bank division.

May 2014 – May 2015 · 1 yr · Greater New York City Area

• Joined the company as the fourth employee on the AI and analytics practice at an established systems-integration firm. Co-created the practice's engagement methodology and suite of service offerings.
• Worked with senior-level clients on their artificial intelligence and technology strategy on several engagements across various industries (mining, financial services, retail). Directed predictive-modeling efforts and enabled customers to confidently choose the right technology (Hadoop, GPUs) for driving business value.

Jan 2012 – May 2014 · 2 yrs 4 mos · Greater New York City Area

• Led teams of 5-15 analysts and data scientists on engagements with Fortune 500 companies. Bridged gap between the client and analytics team, concisely presenting complex results for decision-makers. Led the project management efforts and all client interactions.

Feb 2008 – Jan 2012 · 3 yrs 11 mos · Greater Los Angeles Area

• Served as Combustion Specialist for The United States Air Force and NASA supporting the first-stage rocket engine on all satellite launches. Performed predictive analytics on rocket-propulsion systems to identify risk, reduce cost, and optimize mission performance. Supported nearly 40 satellite launches, performed several critical anomaly investigations, and developed day-of launch models, based on rocket-engine testing data.