Technical Project Manager

Job Description

Job Description

Job Title: Technical Project Manager (TPM) Location: Vienna, VA Work Model: hybrid, onsite 2-3 days a week Pay Rate: Open to Both W2 and established 1099 options Position Type: 6 month contract (likely to extend) Local candidates preferred, looking for candidates with 5-10 years of experience. This Technical Program Manager (TPM) role serves as the bridge between Marketing Data Science, Marketing business teams, and Enterprise Technology organizations. The position is responsible for leading the delivery and operationalization of data, analytics, AI, and machine learning initiatives that support marketing effectiveness, customer targeting, personalization, experimentation, and measurement. The TPM oversees complex, cross-functional programs involving data platforms, data pipelines, analytics models, and AI-enabled capabilities, ensuring they move from concept or proof-of-concept into scalable, compliant, and production-ready solutions. The role requires strong collaboration with data scientists, data engineers, architects, security, governance, and business stakeholders while managing risks, dependencies, timelines, and executive communications. Unlike a traditional TPM focused on software feature delivery, this role emphasizes analytics enablement, data governance, model activation, measurement frameworks, and the operational deployment of data science solutions within a regulated enterprise environment. 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.

• 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.

• Support enterprise governance processes related to analytics and data use, including:
  • Data Transfer Authorizations (DTAs)
  • Security and privacy review
  • Architecture and operational readiness approvals

• Ensure analytics solutions align to enterprise data standards, risk tolerance, and regulatory expectations.

• 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.

• 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.

• 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.