Staff, Technical Program Manager

Position Summary...

We are seeking a Staff Technical Program Manager (TPM) to drive cross-functional execution and strategic alignment for our Data Engineering organization. This role is focused primarily on large-scale data platform programs but will also include ownership of emerging Agentic AI initiatives leveraging Model Context Protocol (MCP) to accelerate data-driven insights and automation.

About the Team:

The Sam’s Tech team is a team charged with driving highly complex, cross-functional initiatives to delivery strategic value for Global Tech and our business stakeholders. The Technical Program Management (TPM) team is the connective tissue of our engineering organization. We drive clarity, alignment, and execution across all engineering domains and bridge strategy and execution by translating vision into actionable roadmaps, and keeping stakeholders aligned from executives to engineers.

Note- “Immigration sponsorship is not available in this role” 

What you'll do...

This role will be partnering with our Data Engineering team. The Data Engineering team is at the center of how our company manages, transforms, and leverages data at scale. We build and maintain the platforms, pipelines, and governance frameworks that ensure data is reliable, secure, and accessible for thousands of users across analytics, product, and AI initiatives.

Collectively, we are a team that values:
•    Engineering Excellence – designing scalable, cloud-native platforms that handle petabyte-scale workloads.
•    Collaboration – working across disciplines to ensure data fuels business decisions and customer innovation.
•    Innovation – experimenting with new approaches (like Agentic AI and MCP) while balancing reliability and compliance.
•    Impact – aligning technical work directly with business outcomes, from cost efficiency to AI-driven growth.

As a Staff TPM, you will partner closely with engineering, product, and business stakeholders to design and deliver programs that ensure scalability, reliability, and compliance of our data infrastructure, while incubating lightweight AI capabilities that integrate seamlessly into our data workflows.

• Program Leadership
  • Drive the planning, execution, and delivery of high-impact data engineering programs (pipelines, governance, observability, storage, and analytics platforms).
  • Own roadmaps and outcomes, ensuring alignment across data engineers, ML engineers, and product partners.
• Cross-Functional Collaboration
  • Translate strategic goals and product roadmaps into program delivery roadmaps and measured business value.
  • Serve as the connective tissue across Data Engineering, AI/ML, Security, Product, and Infrastructure teams.
  • Build executive-level visibility with clear metrics and reporting.
• Agentic AI / MCP Integration
  • Identify opportunities where Agentic AI workflows or MCP-based integrations can improve data discovery, orchestration, and automation.
  • Partner with AI engineers to scope, pilot, and deploy small-scale AI features that complement the core data platform.
  • Evaluate trade-offs between cutting-edge experimentation and operational robustness.
• Governance & Risk Management
  • Ensure compliance with data quality, security, and privacy standards.
  • Anticipate delivery risks and implement mitigation strategies.
• Mentorship & Influence
  • Mentor other TPMs and engineers on program execution best practices.
  • Act as a thought leader in scaling data programs across the organization.

What You’ll Bring

• Experience
  • 5+ years in Technical Program Management experience.
  • Proven success delivering data platform or large-scale distributed systems programs in complex organizations.
  • Experience with cloud data ecosystems (e.g., Databricks, Snowflake, AWS/GCP/Azure data services).
  • Exposure to AI/ML workflows, and interest in Agentic AI or MCP frameworks.
• Skills
  • Strong technical literacy across data pipelines, ETL/ELT, governance, observability, and AI integration patterns.
  • Excellent communication and executive storytelling skills.
  • Ability to create management systems that scale across multiple products and engineering teams.
  • Ability to align technical strategy with me