Senior Director - Data Platform

Leadout Capital

San Francisco (CA)

On-site

USD 250,000 - 350,000

Full time

4 days ago
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Job summary

Leadout Capital is seeking a Senior Director, Data Platform to unify leadership for modernizing and optimizing the foundational enterprise data platform. You will own the platform vision as both a product owner and technical leader, partnering with Product, Finance, and GTM to turn B2B financial data into decision-ready assets.

You will build and mentor a squad-based data team, drive AI-enabled analytics, and ensure strong governance and SLAs across the stack.

Qualifications

  • Proven track record leading squad-based data teams and people leaders.
  • Experience with B2B data platforms, metrics, and data products.
  • Strong governance and platform operations background.

Responsibilities

  • Lead the enterprise data platform roadmap and vision.
  • Align priorities with AI enablement, analytics modernization, and data-driven decisions.
  • Establish a data mesh with unified governance and operating model.
  • Provide architecture and SLA guidance; optimize licensing and infrastructure spend.
  • Define core financial metrics definitions with Finance, Product, and Sales.
  • Drive data usage, adoption metrics, and connect to financial outcomes.
  • Build and mentor a squad-based data team with clear OKRs.
  • Manage managers and ICs; oversee hiring and performance reviews.
  • Cultivate cross-functional partnerships with Product, Security, Finance, and Business Units.

Skills

Squad leadership
Data platform strategy
Stakeholder management
Data governance
Mentoring and people leadership

Tools

Snowflake
dbt
Airflow
Tableau
Salesforce Data Cloud

Job description

The Experience

The Senior Director, Data Platform will provide unified leadership to modernize, integrate, and optimize our foundational enterprise data platform. This platform is mission-critical for enabling AI innovation, advanced analytics, and trusted self-service data access at scale. In this role, you will own the platform vision as both a product owner and a technical leader, partnering with Product, Finance, and GTM to turn B2B financial and product usage/adoption data into trusted, decision-ready assets.

What You'll Actually Be Doing
  • Own and champion the technical vision and roadmap for the enterprise data platform.
  • Align platform priorities with company goals, particularly AI enablement, analytics modernization, and data-driven decision-making.
  • Operationalize a data mesh / domain-oriented model with a unified governance and operating model across the data stack.
  • Provide technical guidance on architecture, data quality, reliability, and SLAs; manage vendors and optimize licensing and infrastructure spend.
  • Define and certify core B2B financial metrics (ARR, bookings, billings, revenue recognition, renewals, churn, expansion, NRR) with consistent definitions across Finance, Product, and Sales.
  • Drive product usage and adoption data (activations, active users, consumption, feature adoption, health scoring) and connect it to financial outcomes such as renewal risk, upsell, and overages.
  • Build, lead, and mentor a squad-based data team of data engineers, analysts, analytics engineers, and product partners, with clear ownership, goals/OKRs, and roadmaps.
  • Manage managers and ICs: hiring, coaching, performance management, and career development.
  • Cultivate a collaborative, high-accountability culture and strong cross-functional partnerships with Product, Security, Data Governance, Finance, and Business Units.
You're Our Person If...
  • Proven experience running squad-based data teams and leading people leaders, with a record of delivering predictably across competing stakeholders.
  • Deep familiarity with B2B financials and usage/adoption data, including metric standardization and data products.
  • Strong technical foundation in modern data platforms (e.g., Snowflake, dbt, Airflow, Tableau, Salesforce Data Cloud) and the ability to guide engineering decisions.
  • Experience enabling AI/ML and advanced analytics through large-scale data platform modernization.
  • Strong background in platform operations, unified governance, and SLA management.
  • Exceptional communication skills with the ability to influence executive leadership and technical audiences.
  • Demonstrated success in change management within a complex, matrixed organization.
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