Technical Project Manager, Vienna, VA

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.

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 review
  • 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.

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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System One, and its subsidiaries including Joulé, ALTA IT Services, TeamPeople, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.