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Technical Program Manager Marketing Data Science

Job

Tandym Group

Vienna, VA (In Person)

Full-Time

Posted 3 weeks ago (Updated 2 weeks ago) • Actively hiring

Expires 7/7/2026

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Job Description

A services organization in Vienna, VA is seeking a Technical Program Manager to lead the delivery of marketing data science initiatives in a hybrid environment.  About the
Opportunity:
Shift:
Day Schedule:
Monday through
Friday Hours:
Standard business
Setting:
Hybrid (3 days a week onsite)
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:
5+ years of experience in a fast-paced Technical Program Manager role Bachelor's degree in Business Administration, Information Technology, Management, or a related field, or equivalent combination of education, training, or experience 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 Qualifications:
PMP, CSM, or equivalent experience and training 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