Senior Staff Product Manager - Technical, Data Platform Team, Hyderabad

Warner Bros. Discovery; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

A Great Place to work.

Equal opportunity employer.

Fast track growth opportunities.

Job summary

Warner Bros. Discovery in Hyderabad is seeking a Senior Staff Product Manager – Technical to define and drive the Data & Audience Platform AI roadmap, spanning predictive ML, GenAI, and AI-enabled analytics.

You will align AI initiatives with business value, governance, and scalable platform investments across multiple teams. The role requires 12+ years of product leadership in AI/ML, data platforms, or analytics, with strong executive communication and a proven track record delivering

Qualifications

• 12+ years of product management, AI/ML product strategy, data platform, or analytics experience.
• Deep experience delivering AI/ML, GenAI, data platform, customer intelligence, analytics, activation, or enterprise platform products at scale.
• Strong working knowledge of AI patterns including model lifecycle, experimentation, MLOps, governance, and observability.
• Excellent executive communication skills with the ability to translate complex AI concepts into clear decisions and value cases.
• Proven ability to influence without authority across multiple teams and leadership levels.

Responsibilities

• Shape AI product strategy and roadmap priorities across DAP platform areas.
• Evaluate AI/ML opportunities through value, feasibility, cost, data readiness, governance, and reuse lenses.
• Write AI-focused PRDs, product briefs, model/agent behavior requirements, evaluation criteria, and launch readiness requirements.
• Partner with engineering, data science, and architecture to compare model, platform, vendor, and implementation tradeoffs.
• Define KPIs and decision frameworks that connect AI outputs to business outcomes.
• Run AI roadmap, prioritization, value review, and post-launch measurement forums.
• Translate complex AI/ML concepts into clear executive narratives and actionable decisions.
• Identify when AI work should be standardized as a shared platform capability versus delivered as a bespoke solution.

Skills

AI/ML product strategy

Data platform

Executive communication

Cross-functional leadership

Stakeholder influence

Job description

Senior Staff Product Manager – Technical (Data & Audience Platform Team), Hyderabad

Meet our team

The Data and Audience Platform team sits within the Data & Analytics organization in WBD's Global Tech division. We build the data platform behind our streaming services and content businesses – the pipelines, data lakes, and serving infrastructure that turn billions of events into audience insights, personalization, and intelligent products.

About the Role

The Senior Staff Product Manager-Tech, AI/ML Roadmap and Platform Strategy, will define and drive the Data & Audience Platform (DAP) AI roadmap across predictive ML, GenAI, agentic workflows, AI-enabled analytics, data activation, and AI-native platform capabilities. This role is intentionally AI-centric: it exists to elevate DAP from a data and analytics platform organization into a product‑led AI enablement function that identifies the highest‑value AI opportunities, chooses the right technologies, and converts experimentation into durable business outcomes.

This role will be accountable for disciplined AI product strategy: selecting the right problems, validating that the newest technology is actually the best fit, defining measurable business value up front, and ensuring platform investments are reusable, governed, cost‑aware, and scalable. The role will work across DAP, engineering, analytics, data science, architecture, product, operations, privacy/legal, AI governance, and senior leadership to make AI investments actionable, safe, and outcome‑driven.

Roles & Responsibilities

• Shape AI product strategy and roadmap priorities across DAP platform areas.
• Evaluate AI/ML opportunities through value, feasibility, cost, data readiness, governance, and reuse lenses.
• Write AI‑focused PRDs, product briefs, model/agent behavior requirements, evaluation criteria, and launch readiness requirements.
• Partner with engineering, data science, and architecture to compare model, platform, vendor, and implementation tradeoffs.
• Define KPIs and decision frameworks that connect AI outputs to business outcomes.
• Run AI roadmap, prioritization, value review, and post‑launch measurement forums.
• Translate complex AI/ML concepts into clear executive narratives and actionable decisions.
• Identify when AI work should be standardized as a shared platform capability versus delivered as a bespoke solution.
• Work with cross‑functional teams to intake, define, identify risks, and schedule work to develop key features.
• Formulate a point of view on how proposed features align with business goals and our tech strategy.

What to Bring

• 12+ years of product management, technical product management, AI/ML product strategy, data platform, analytics, or related experience.
• Deep experience defining and delivering AI/ML, GenAI, data platform, customer intelligence, analytics, activation, or enterprise platform products at scale.
• Strong working knowledge of AI/ML product concepts including model lifecycle, experimentation, model evaluation, MLOps, data quality, governance, semantic layers, feature/data products, and post‑launch performance measurement.
• Practical fluency in modern AI patterns such as LLMs, RAG, agentic systems, AI orchestration, prompt and agent lifecycle management, human‑in‑the‑loop workflows, and AI observability.
• Demonstrated ability to set product vision and direction across multiple teams and highly ambiguous technical domains.
• Strong ability to evaluate technology tradeoffs across capability, quality, scalability, privacy, security, cost, maintainability, and business value.
• Excellent executive communication skills with the ability to translate technical AI concepts into clear decisions, narratives, and value cases.
• Proven ability to influence without authority across engineering, architecture, data science, TPM, analytics, operations, business, governance, and senior leadership teams.
• Track record of delivering measurable customer, business, operational, or platform impact from technical product investments.

The Nice to Haves

• Experience with streaming media, digital video, Customer 360, personalization, recommendations, content intelligence, advertising analytics, audience activation, commerce analytics, marketing analytics, or global platform products.
• Experience with AI governance, responsible AI, model risk review, privacy/security requirements, or compliance needs for AI‑powered products.
• Experience creating scalable intake, prioritization, value management, and post‑launch measurement mechanisms for AI portfolios.
• Experience with AI cost management, cloud/data platform FinOps, model inference cost tradeoffs, vendor evaluation, or build/buy/reuse decisioning.
• Experience mentoring senior PMs / PM‑Ts and raising product craft across a matrixed organization.

What We Offer

• A Great Place to work.
• Equal opportunity employer.
• Fast track growth opportunities.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.