Technical Program Manager

Job Title: Technical Program Manager

Duration: 6 months contract - can extend

Location: Hybrid at Vienna, VA

Role Summary

• The Technical Program Manager (TPM) supports the Marketing Data Science organization by leading the delivery, integration, and operationalization of data-driven and analytics-enabled marketing capabilities. This role ensures that data platforms, pipelines, models, and AI-enabled use cases are delivered in a compliant, scalable, and production-ready manner—bridging Data Science innovation with enterprise execution.
• The TPM partners closely with Marketing Data Science, Marketing stakeholders, and Enterprise Technology teams to translate analytic concepts into actionable capabilities that enable targeting, measurement, experimentation, and member-centric decisioning at scale.

Key Responsibilities

Data & Analytics Program Delivery

• Lead cross-functional delivery of marketing data and analytics initiatives (e.g., data integrations, analytic enablement, model activation, measurement frameworks).
• Manage multiple concurrent data-centric workstreams, dependencies, risks, and delivery milestones.
• Ensure analytics initiatives move from discovery or POC into governed, repeatable production solutions.

Data Science & Technical Partnership

• Serve as the primary operational partner to Marketing Data Science teams, supporting intake, prioritization, and delivery of analytics use cases.
• Coordinate with ETS, data engineering, architecture, security, and risk teams to support data ingestion, access, and platform readiness.
• Translate analytic requirements (models, features, signals, measurement needs) into executable delivery plans.

Governance, Risk & Compliance Enablement

• Support enterprise governance processes related to analytics and data use, including:
• Data Transfer Authorizations (DTAs)
• Security and privacy reviews
• Architecture and operational readiness approvals
• Ensure analytics solutions align to enterprise data standards, risk tolerance, and regulatory expectations.

Measurement, Experimentation & Activation Support

• Enable activation of analytic outputs into marketing platforms (e.g., targeting, segmentation, propensity-based journeys).
• Support design and delivery of test-and-learn frameworks, measurement plans, and performance reporting.
• Partner with analytics teams to ensure results are traceable, explainable, and actionable by Marketing stakeholders.

Stakeholder Communication & Influence

• Provide clear, executive-ready updates on data and analytics initiatives, including risks, trade-offs, and decision points.
• Act as a translator between technical data teams and non-technical business partners.

Ways of Working & Continuous Improvement

• Contribute to standardized intake, prioritization, and delivery models for analytics-driven work within Marketing.
• Identify opportunities to improve data delivery speed, clarity, and scalability through better processes, tooling, and cross-team alignment.

Required Qualifications

• Extensive 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.

Preferred Qualifications

• 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.

How this differs (subtly) from a generic TPM

• Emphasis on analytics enablement over feature delivery
• Focus on data pipelines, models, measurement, and activation
• Strong partnership with Marketing Data Science rather than pure MarTech platform ownership
• Heavy interaction with risk, security, and data governance for analytic use cases