The Technical Program Manager

TechWish

Merrifield, VA

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JOB DETAILS

SKILLS

Analysis Skills, Artificial Intelligence (AI), Channel Strategies, Communication Skills, Continuous Improvement, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Science, Establish Priorities, Information/Data Security (InfoSec), Machine Tool, Marketing, Performance Analysis, Privacy Controls, Project/Program Management, Regulations, Requirements Management, Risk, Risk Management, Security Architecture, Technical Leadership, Testing, Translation Services, Use Cases

LOCATION

Merrifield, VA

POSTED

23 days ago

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: o Data Transfer Authorizations (DTAs) o Security and privacy reviews o 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 .

About the Company

TechWish

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