Sr. Director, Technical Program Management AI/ML

Senior Director, Technical Program Management – AI/ML

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+. Paramount 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+ is a digital subscription video-on-demand and live streaming service that 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.

Overview And Responsibilities

The Senior Director of Technical Program Management (AI) will closely collaborate with engineering management. He/she will manage the development and improvement of AI-driven platforms, systems, and capabilities. These innovations will support various products and improve customer experiences. The 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.

He/she 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, including long-term planning, prioritization, selection, and outcome evaluation based on results. Work with engineering to translate organizational strategy into useful roadmaps that balance experimentation, platform development, and product delivery. Drive clarity on priorities and tradeoffs across AI investments, maximizing long-term leverage and impact.
• Establish and track portfolio-level success metrics that connect model performance, adoption, and business outcomes.
• Decision ownership and trade-off 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 and program design – manage complex dependencies across data pipelines. Oversee the development of models, infrastructure, and experimentation frameworks. Handle 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 and 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, including substantial work with AI/ML or data-focused engineering teams.
• Proven experience leading portfolio-level programs spanning multiple teams and product areas; experience working successfully in uncertain environments with a focus 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.
• Great communication skills and the ability to manage stakeholders.

Additional Qualifications

• AI/ML & Data Fluency (conceptual, not hands-on coding). Machine learning lifecycle concepts include 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, and generative AI for text, image, or video.

Hiring Salary Range

Range: $141,000.00 - $211,000.00. The range applies to New York, California, Colorado, Washington state, and other geographies. Starting pay depends on location, market demands, experience, training, and education. The benefits available include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program, and PTO, as applicable. The position is bonus eligible.

What We Offer

• Attractive compensation and comprehensive benefits packages.
• 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:

Paramount is an equal opportunity employer (EOE) including disability/veteran. We are 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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