Supporting a federal agency's program management office around data and analytics
May 7, 2025·
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1 min read
Christopher Teixeira
I led an interdisciplinary team to help a federal agency establish consistent and efficient approaches to various aspects of governance and stratgic direction for data and AI related efforts.
- Project Leadership: Manage a diverse team of 15+ staff, creating tasking, reporting to sponsor leadership, identifying and executing project risk management strategies, and managing the finances.
- Strategic Guidance: Organized several working sessions to engage staff and draft a strategy to use, develop, and ensure trust in AI and Machine Learning applications across the agency.
- Stakeholder Engagement: Engage with senior leaders across the agency to establish a data strategy that will guide a federal agency to continue to be a data-driven organization.
- Trusted Advisor: Support the growth of a new division within the agency by identifying potential functions, providing recommendations on building a brand, and establishing good reporting practices.
Authors
Christopher Teixeira
(he/him)
Data Scientist
Christopher Teixeira is a Data Scientist with extensive experience applying statistics, applied probability,
and operations research to solve complex organizational challenges. Throughout his career, he has partnered with
diverse stakeholders to drive data-informed decision-making, helping organizations navigate the nuances of various
analytical techniques to find optimal solutions. Christopher has a proven track record of delivering code in multiple languages,
leading large-scale technical efforts, and responding to technical proposals and developing relationships with customers.
He holds an M.S. in Operations Research from George Mason University and a B.S. in Mathematics from Worcester Polytechnic Institute.