OS
Program Manager – Data Science & Analytics
Omiz Staffing Solutions (OSS)
Tysons · Hybrid Contract Lead $70 – $77/hr 2w ago
About the role
Position Overview
As the Technical Program Manager, you will lead cross-functional programs spanning data integrations, model deployment, measurement frameworks, experimentation, and analytics activation. You will serve as the critical bridge between Data Science, Marketing, and Enterprise Technology teams to ensure successful execution from concept through production.
Key Responsibilities
- Lead delivery of complex data and analytics initiatives across multiple workstreams
- Drive operationalization of models, insights, and AI use cases into enterprise environments
- Partner with Data Science, Marketing, Engineering, Architecture, Security, and Risk stakeholders
- Manage priorities, dependencies, milestones, risks, and executive communications
- Enable segmentation, targeting, personalization, and campaign measurement capabilities
- Ensure alignment with governance, privacy, security, and enterprise standards
- Build repeatable intake, prioritization, and delivery frameworks for analytics programs
- Present concise, executive-ready status updates, recommendations, and decision points
Required Qualifications
- Proven success leading enterprise-scale technical or data-driven programs
- Strong understanding of data platforms, pipelines, analytics models, and production enablement
- Experience collaborating with technical teams and senior business stakeholders
- Exceptional program execution, risk management, and stakeholder leadership skills
- Strong written and verbal communication across technical and executive audiences
Preferred Qualifications
- Marketing analytics, personalization, decision science, or campaign optimization experience
- AI / machine learning program delivery experience
- Regulated industry background (financial services, healthcare, etc.)
- PMP, CSM, or equivalent credentials
Why This Opportunity
This is a high-visibility role with direct impact on enterprise growth strategy, customer engagement, and next-generation analytics transformation.
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