Program Manager, Data Platforms & Emerging Technology
Listed on 2026-07-19
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IT/Tech
IT Project Manager, Business Systems & Technology Analysis, AI Business & Operations
Program Manager, Data Platforms & Emerging Technology
- Full-time
- Business Segment:
Versant O&T - Compensation: USD 120,000 - USD 150,000 - yearly
VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!,
SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, Golf Now and Golf Pass.
The Program Manager, Data Platforms & Emerging Technology is responsible for driving the planning, coordination, and execution of strategic initiatives across VERSANT’s Data Platform and Innovation & Emerging Technology organizations. This role serves as a key operational partner to engineering, data, product, and business leaders, ensuring the successful delivery of programs spanning data platforms, AI/ML solutions, analytics capabilities, and emerging technology adoption.
This individual will help translate strategy into execution by establishing program governance, managing cross-functional dependencies, tracking delivery progress, and ensuring alignment between technical teams and business stakeholders. The Program Manager will play a critical role in enabling scalable data platform and AI capabilities while fostering collaboration across Engineering, Product, Editorial, Corporate Functions, and Operations.
Responsibilities- Lead end-to-end delivery of strategic initiatives across Data Platforms, AI/ML, analytics, and emerging technology programs.
- Develop and maintain integrated program plans, milestones, timelines, and dependency tracking across multiple teams.
- Coordinate execution across engineering, product, data, editorial, and business stakeholders to ensure alignment and predictable delivery.
- Facilitate program governance, including roadmap reviews, status reporting, risk management, and executive communications.
- Identify, manage, and mitigate cross-functional risks and dependencies that may impact program success. Partner with Data Platform, ML Engineering, and Innovation leaders to track progress against strategic objectives and key results.
- Support prioritization and intake processes for new data, analytics, AI, and automation initiatives.
- Maintain visibility into project health, resource allocation, delivery metrics, and business outcomes.
- Coordinate readiness activities for major platform launches, AI deployments, and technology rollouts.
- Partner with business leaders to understand objectives, communicate program status, and drive adoption of new capabilities.
- Facilitate collaboration between technical and non-technical stakeholders, translating complex initiatives into clear business impacts.
- Support organizational readiness activities, including communications, training coordination, and adoption tracking for new technologies.
- Drive transparency through regular updates, executive dashboards, and program reviews.
- Establish and continuously improve program management standards, reporting frameworks, documentation practices, and delivery processes.
- Implement mechanisms to track program performance, outcomes, and value realization.
- Support governance processes related to AI, data management, vendor partnerships, and technology adoption.
- Contribute to the development of repeatable operating models that enable scale across Data and Emerging Technology teams.
- 5+ years of experience in program management, technical program management, project management, or related roles.
- Experience delivering complex technology initiatives involving data platforms, analytics, AI/ML, cloud technologies, or enterprise software.
- Strong expertise in program planning, roadmap execution, dependency management, and risk mitigation.
- Experience working cross-functionally with engineering, product,…
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