Senior Technical Program Manager - Data Science

Technical Program Manager – Data Science Portfolio

Seeking a Technical Program Manager with 7–10 years of experience working with technical teams. The candidate will manage, prioritize, and drive impact across a portfolio of data science projects and initiatives. This role blends advanced analytics, project management, and cross-functional collaboration to enable data-driven decision-making and maximize business value.

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Legal Notice

About Cincinnatus

Equal Employment Opportunity

Technical Program Manager – Data Science Portfolio Seeking a Technical Program Manager with 7–10 years of experience working with technical teams. The candidate will manage, prioritize, and drive impact across a portfolio of data science projects and initiatives. This role blends advanced analytics, project management, and cross-functional collaboration to enable data-driven decision-making and maximize business value. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. Cincinnatus is an enterprise staffing company that partners with leading technology companies to source and employ highly skilled professionals for full-time and long-term contingent roles. Cincinnatus serves as the employer of record for these engagements, providing W-2 employment, payroll, benefits, and compliance, while placing employees directly within client teams to work on high-impact initiatives. Roles hired through Cincinnatus are not project-based or freelance engagements. They are structured, role-based positions that typically involve full-time or fixed-term commitments, close collaboration with a client's internal teams, and integration into standard enterprise workflows. Cincinnatus is a legal entity separate from Mercor. While opportunities may be discovered through Mercor's platform, employment, onboarding, payroll, and benefits for these roles are administered by Cincinnatus. Cincinnatus is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or any other legally protected characteristic. Cincinnatus is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout the job application process. We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

• Drive visibility and execution of key operational and transformative data science initiatives
• Partner with leadership to identify long-term plans, priorities, and critical focus areas
• Align technical roadmaps with organizational OKRs and business objectives
• Prepare and present summary reports on milestones, status, and success metrics for the portfolio
• Develop and streamline processes for project intake and resource balancing
• Ensure efficient allocation of resources across multiple projects and teams
• Monitor and improve adherence to deadlines, reduce delays, and increase project throughput
• Leverage advanced analytical techniques to draw insights from structured and unstructured data
• Guide teams in analytical design, modeling, and data visualization to support decision-making
• Apply emerging quantitative tools and techniques to enhance research conclusions
• Build strong partnerships with cross-functional teams (e.g., engineering, IDC Pillars)
• Facilitate strategic discussions and planning sessions to define key focus areas
• Ensure consistent messaging and communication across the organization
• Track progress to key results and ensure delivery on commitments
• Provide ongoing support for production incidents and requests
• Drive improvements in systems, processes, and tools to enhance portfolio performance
• Experience in data science, analytics, project/program/portfolio management
• Strong strategic thinking and ability to drive organizational priorities
• Advanced proficiency in data analysis, modeling, and visualization
• Excellent communication and stakeholder management skills
• Ability to operate in high-growth, fast-paced environments and manage multiple concurrent projects
• Experience with cross-functional collaboration and influencing executive decisions