Sr. Manager, Technical Program Management

Warner Bros. Discovery•Atlanta, GA

About The Position

We are looking for a Senior Manager, Technical Program Management to join our Warner Bros. Discovery Enterprise Data & AI Solutions team. You will drive end-to-end delivery of complex, cross-functional data programs while also leading a team of Technical Program Managers. You will partner with our engineering teams in breaking down complex projects into specific goals and tasks, while ensuring the long-term vision is delivered. In addition to hands-on program ownership, you will provide leadership, prioritization, and coaching to TPMs, ensuring consistent execution and high-quality delivery across the organization. You are action oriented and prioritize delivering roadmap items, proactively identify gaps, as well as opportunities in engineering and operations excellence. This role will flex between leading programs directly and leading through others, stepping in where needed to keep critical work on track.

Requirements

8+ years leading complex technical programs across multiple teams
3+ years of experience managing or leading TPMs or similar roles.
Data/analytics experience – you’re a data person who can understand and document how data created in systems makes its way across enterprise data landscape.
Ability to function effectively and consistently when faced with frequently changing and sometimes ambiguous goals.
Ability to drive definition of project scope, develop detailed project plans and facilitate the collection of engineering, operational and business requirements.

Responsibilities

Manage and develop a team of Technical Program Managers: Provide coaching, feedback, and support day-to-day execution.
Guide program execution standards: Establish lightweight, effective practices for planning, tracking, and delivery without adding unnecessary overhead.
Resource prioritization: Allocate TPM support across initiatives based on business impact and complexity.
Escalation leadership: Act as a point of escalation for high-risk or complex programs.
Cross-Functional Alignment: Ensure alignment and execution consistency across global teams.
Team Enablement: Encourage adoption of tools, automation, and AI-enabled practices that improve team productivity and execution quality.
Lead by Influence: Inspire and guide cross-functional teams without direct authority by establishing trust and clarity of purpose.
Vision Execution: Set a clear vision and drive execution through collaboration, alignment, and accountability.
Effective Communication: Deliver clear, concise written and verbal communication tailored to technical and non-technical audiences.
Business Impact Articulation: Explain how technical decisions and program goals align with broader business and divisional objectives.
Cross-Functional Alignment: Facilitate alignment across teams and stakeholders to ensure shared understanding and commitment.
Portfolio Governance: Maintain visibility into the organizational program portfolio, ensuring program health, status transparency, and alignment to business priorities.
Project Lifecycle Management: Create and drive direction and strategy across all phases of engineering and program delivery in accordance with central PMO standards.
Documentation & Maintenance: Document, articulate, and maintain technical and business requirements throughout the program lifecycle.
Requirements Gathering: Discover and articulate business and technical requirements and dependencies, including those involving external teams and third-party partners.
Program Structuring: Translate stakeholder needs into clear program plans, milestones, and deliverables.
Implementation Readiness: Work with development teams to uncover implementation details and proactively identify roadblocks.
Engineering Partnership: Work closely with development teams to drive alignment, uncover risks, and ensure smooth execution.
Hands-on Program Leadership: Step into and lead high-priority, complex, or ambiguous programs as needed, particularly those with significant cross-functional dependencies or risk.
Risk & Dependency Management: Proactively identify, track, and mitigate risks and dependencies across teams.
Continuous Improvement & Tooling: Identify opportunities to apply automation and AI-enabled tools to improve program efficiency, tracking, and delivery.
Understand Data Flow: Analyze and map how data moves across enterprise systems to ensure consistency, quality, and accessibility.
Drive Data Quality: Organize and lead initiatives that deliver high-quality, trustworthy data to internal and external stakeholders.
Triage Initiatives: Evaluate and prioritize multiple concurrent initiatives to focus on the most impactful problems.
Strategic Judgment: Make informed decisions about what to tackle and when, balancing short-term needs with long-term goals.
Problem Framing: Create clear problem statements and use data to develop proposals and solutions.
Drive Consensus: Align cross-functional stakeholders around solutions and ensure smooth execution.