Director, Data Services

Reposted An Hour Ago
Be an Early Applicant
4 Locations
In-Office
220K-240K Annually
Senior level
AdTech • Machine Learning
The Role
The Director of Data Services will lead the data lakehouse strategy, ensuring data quality and governance for product offerings, partnering across teams to enhance data accessibility and ML functionalities.
Summary Generated by Built In
Samba TV tracks streaming and broadcast video across the world with our proprietary data and technology. We are on a mission to fundamentally transform the viewing experience for everyone. Our data enables media companies to connect with audiences for new shows and movies, and enables advertisers to engage viewers and measure reach across all their devices. We have an amazing story with a unique perspective on culture formed by a global footprint of data and AI-driven insights.

The Director of Data Services will be a pivotal business and product leader responsible for the entire data lakehouse layer of Samba TV's platform, establishing it as the central, unified data foundation for all product offerings. This role is crucial for integrating and standardizing all Samba data and data policies, ensuring best-in-class data quality, accessibility, and implementation of governance.

This leader will define and execute the strategy for SambaTV’s internal data platforms, including:

  • Embeddings Platform: Design and scale the infrastructure that powers audience modeling, targeting, and measurement using high-dimensional vector representations of behavioral data.
  • Unity Catalog & Governance: Lead governance and data access strategy across teams by driving adoption and evolution of Unity Catalog, role based access controls (RBAC) frameworks, and lineage tracking.

Key Responsibilities:

  • Own the long-term roadmap for how Samba’s internal data and ML assets are made accessible, safe, and product-ready.
  • Partner with ML, infra, data platform, legal, and cross-functional product teams to create cohesive frameworks for access control, modeling, data discovery, and reusability.
  • Translate technical primitives (e.g., vector similarity search, data lineage) into product-level benefits for internal and external customers.
  • Drive adoption and best practices across internal teams by evangelizing platform capabilities while balancing compliance, scale, and usability.
  • Contribute to external partner enablement, especially where governance or ML modeling intersects with customer-facing solutions.

What you will bring:

  • 8+ years of PM experience, with deep exposure to data infrastructure, ML platforms, or enterprise governance tooling.
  • Strong fluency in machine learning concepts, such as embeddings, training pipelines, model drift, and vector indexing.
  • Experience working with modern data stacks: Databricks, Delta Lake, Unity Catalog, and concepts like RBAC, schema enforcement, and metadata systems.
  • Proven success in leading cross-functional platform products with multiple stakeholder groups (data science, engineering, legal, external partners).
  • Ability to influence highly technical teams while also driving stakeholder alignment across compliance and business functions.
  • Bonus: Experience at an adtech, martech, or audience data company, where data governance and modeling intersect with commercial product delivery.

This role is ideal for you if...

  • You are a product leader with a systems and infrastructure mindset (vs. generalist) with technical fluency and the ability to connect the dots between governance and modeling, platform design and product acceleration. 
  • You also see yourself as a technical product strategist who can build robust foundations while enabling downstream teams to move faster, safer, and smarter. 
  • You enjoy a debate but can influence teams–direct and stakeholders–through trust building and with a bias for action. 


  • #li-ch

Samba TV is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.

Samba TV may collect personal information directly from you, as a job applicant, Samba TV may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.

Top Skills

Data Lakehouse
Databricks
Delta Lake
Embeddings
Machine Learning
Rbac
Unity Catalog
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The Company
HQ: San Francisco, CA
318 Employees
Year Founded: 2008

What We Do

Television remains a vibrant cultural influence and an essential source of entertainment and information worldwide. Tremendous growth in content choices, and viewing platforms that allow us to watch anything, anytime, on any screen, has actually made it harder for viewers to discover and keep up with all the great programming available. It’s also more competitive for content providers to keep your attention, and for marketers to make strong, measurable connections with their target consumers.
Technology that improves the viewing experience, enables content discovery, and addresses audience fragmentation across screens will strengthen television’s business model and relevance to consumers. Data is at the center of any solution to make TV better.
Samba TV's technology is built into Smart TVs and easily maps to smart phones and tablets. By recognizing what's on screen, Samba TV learns what viewers like and using machine learning algorithms, enables discovery of shows and actors in a whole new way. Likewise, our data and measurement products are transforming the way stakeholders across the media landscape are thinking about their business. Given the dramatic growth in streaming services, connected devices, time-shifting, and multi-screen viewership, our data products solve real problems and create a meaningful competitive advantage for our clients.

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