Technical Program Manager - Marketing Data Science
Page Mechanical Group, Inc., Vienna, VA, United States
Technical Program Manager - Marketing Data Science
Location: Vienna, Virginia
Hybrid: Three days per week onsite
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 Enterprise Technology, 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
What Sets This Role Apart
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 functions
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.
We are committed to employing only candidates who are legally authorized to work in the United States. For compliance with the Immigration Reform and Control Act of 1986, all new employees must complete the Employment Eligibility Verification Form I-9 and provide documentation establishing identity and authorization to work. E-Verify will be used for employment verification as part of the onboarding process.
We value integrity throughout our hiring process. Candidates will be asked to provide documentation confirming employment history, education, and work authorization.
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Location: Vienna, Virginia
Hybrid: Three days per week onsite
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 Enterprise Technology, 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
What Sets This Role Apart
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 functions
We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other protected characteristic under federal, state, or local laws.
We are committed to employing only candidates who are legally authorized to work in the United States. For compliance with the Immigration Reform and Control Act of 1986, all new employees must complete the Employment Eligibility Verification Form I-9 and provide documentation establishing identity and authorization to work. E-Verify will be used for employment verification as part of the onboarding process.
We value integrity throughout our hiring process. Candidates will be asked to provide documentation confirming employment history, education, and work authorization.
#J-18808-Ljbffr