Program Manager(Data Science)

Job Summary:

Required Skills

- 5-10 years exp

- data and analytics program delivery : someone who has owned data platforms, analytics enablement or machine learning type delivery

- understands analytics and data science. doesn't need to code just understand how it works

- someone who has exp "making analytics real". they can turn analytics into production ready capabilities

- financial industry experience preferred

- enterprise environment (prefer banking)

- marketing analytics

Rate:$60-$69/hr. W2

hybrid to HQ in 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:

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

Benefits/Other Compensation

This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits, dental benefits, vision benefits, 401K and Life Insurance ($20,000 benefit).

Why Hays?

You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there’s a position you really want, you’re fully prepared to get it.

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Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays’ guiding principles is ‘do the right thing’. We also believe that actions speak louder than words. In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.

In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570.

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