Technical Program Manager - Marketing Data Science

An organization in Vienna, VA is seeking a Technical Program Manager to lead the delivery of marketing data science initiatives in a hybrid environment. This role will coordinate cross-functional execution across analytics, engineering, governance, and business teams to help operationalize data-driven marketing capabilities.

About the Opportunity:

• Shift: Day shift

• Schedule: Monday through Friday (hybrid)

• Hours: Standard business

• Setting: Hybrid

Responsibilities:

• Lead cross-functional delivery of marketing data and analytics initiatives, including data integrations, analytic enablement, model activation, and measurement frameworks.

• Manage multiple concurrent workstreams, dependencies, risks, and delivery milestones.

• Serve as the primary operational partner to marketing data science teams, supporting intake, prioritization, and delivery of analytics use cases.

• Coordinate with data engineering, architecture, security, risk, and enterprise technology teams to support data ingestion, access, and platform readiness.

• Support governance and operational readiness for analytics solutions, ensuring they move from discovery or proof of concept into repeatable production use.

Qualifications:

• Bachelor's degree in Business Administration, Information Technology, Management, or a related field, or equivalent combination of education, training, or experience.

• 5+ years of experience in a fast-paced Technical Program Manager role.

• Experience delivering complex, cross-functional technical or data-driven programs.

• Strong understanding of analytics, data platforms, and how models and insights are operationalized.

• Proven ability to work effectively with data scientists, engineers, and business partners.

• Advanced program management skills, including planning, dependency management, and risk mitigation.

• Strong communication skills across technical and executive audiences.

Desired Skills:

• Experience supporting marketing analytics, decision science, or data-informed personalization.

• Familiarity with enterprise data governance, security, and privacy considerations.

• Experience enabling AI or advanced analytics use cases within regulated environments.

• PMP, CSM, or equivalent experience and training.