Sr. Director, Technical Program Management AI/ML

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Senior Director, Technical Program Management – AI/ML

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Overview and Responsibilities

Job Summary:

The Senior Director of Technical Program Management (AI) will closely collaborate with engineering management. They will manage the development and improvement of AI-driven platforms, systems, and capabilities. These innovations will support various products and improve customer experiences. This role operates at the intersection of technology, product, and business strategy, where AI concepts are translated into scalable, production‑grade systems that deliver measurable impact.

The Senior Director will oversee a portfolio of AI/ML investments, lead a team of senior program management leaders, and serve as a trusted advisor to executive stakeholders. The ideal candidate brings solid systems thinking, deep technical judgment, and the flexibility required to lead in highly experimental, fast‑moving AI environments.

Key Responsibilities:

Strategic AI Portfolio Leadership

PMO will manage the entire AI/ML portfolio. This involves long-term planning, selecting which investments to prioritize, and evaluating outcomes based on results. Work with engineering to translate the organization's strategy into useful roadmaps. These roadmaps should balance experimentation, platform development, and product delivery. Drive clarity on priorities and tradeoffs across AI investments, maximizing long‑term leverage and impact

Partner to establish and track portfolio‑level success metrics that connect model performance, adoption, and business outcomes.

Decision Ownership & Tradeoff Management Own prioritization and sequencing decisions across AI/ML initiatives, including when to accelerate, pivot, or stop work.

Balance near‑term product impact with long‑term platform and capability development.

Act as a final escalation point for cross‑team conflicts involving technical direction, dependencies, or resource allocation.

AI Execution & Delivery Enablement

Oversee the full portfolio of AI/ML projects, from ideation and experimentation through production deployment and iteration. Enable delivery models that support high‑volume experimentation, rapid learning cycles, and continuous improvement. Establish operating mechanisms (planning rhythms, reviews, metrics) that enable autonomy while ensuring accountability and senior management visibility. Systems Thinking & Program Design Supports a systems thinking approach. Manages complex dependencies across data pipelines. Oversees the development of models.

Manages infrastructure and experimentation frameworks. Handles integration with downstream processes. Evolve program structures to support collective planning during ideation and design, followed by self-directed execution across multiple workstreams.

Cross‑Functional & Executive Leadership, Surface risks, dependencies, and integration challenges early and transparently to senior management, along with recommended mitigation strategies and decision points

 Basic Qualifications:

12 + years of experience in Program Management, Technical Program Management, or similar roles. This experience must include substantial work with AI/ML or data-focused engineering teams.

Proven experience leading portfolio‑level programs spanning multiple teams and product areas. Worked successfully in uncertain environments. Focused on innovation.

Solid people management experience, including managing managers. Deep knowledge of agile, lean, and iterative delivery models, with the ability to adapt them to non‑traditional workflows. Should have great communication skills and manage stakeholders.

Additional Qualifications:

AI/ML & Data Fluency (Conceptual, Not Hands‑On Coding) Machine learning lifecycle concepts include several key steps. These are data sourcing, feature engineering, training, evaluation, deployment, and monitoring.

· Familiarity with experimentation frameworks (A/B testing, offline vs. online evaluation, model iteration loops).

· Knowledge of model performance metrics and tradeoffs (accuracy, latency, bias, explainability

· Experience supporting applied ML use cases such as:

○ Personalization and recommendation systems

○ Search and ranking

○ Content knowledge and metadata generation

○ Generative AI for text, image, or video

Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment™. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME®.

ADDITIONAL INFORMATION

Hiring Salary Range: $141,000.00 - 211,000.00. 

The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.  The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable,  as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.  

• Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits
• Generous paid time off.
• An exciting and fulfilling opportunity to be part of one of Paramount’s most dynamic teams.
• Opportunities for both on-site and virtual engagement events.
• Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.
• Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount

Paramount is an equal opportunity employer (EOE) including disability/vet.

At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

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