Director, Data & Analytics

AirbyteAirbyte·Remote(San Francisco)
Software Development
Excel

WFA Digital Insight

The demand for data-driven decision making is on the rise, with over 70% of companies investing in data analytics. As a director of data and analytics at Airbyte, you'll be at the forefront of this trend, shaping strategy and powering internal AI workflows. With the company's recent

81M funding, this role offers a unique opportunity to build and lead a team in a rapidly growing organization. Before applying, consider your experience with data engineering, SQL, and modern warehouse stacks, as well as your ability to communicate complex insights to executives.

Job Description

About the Role

The Director of Data & Analytics plays a critical role in Airbyte's growth, owning the data platform end-to-end and shaping strategy and decisions across the company. As a key member of the leadership team, you will partner closely with the VP of Finance and GM of Data Replication to drive business growth and inform product development. Airbyte is at an inflection point, with its Data Replication business growing fast and scaling toward profitability, while launching its Agentic Data Platform, a new product line that will define the next chapter of the company. You will be responsible for building the data foundation that powers both businesses, from pipelines and BI tools to the agents that query data through, and the strategic insights that shape how the company runs.

What You Will Do

  • Own the data platform end-to-end, including pipelines, warehouse, BI tools, and the data layer that powers internal agents and activations
  • Evolve the data platform as the company's needs grow, keeping it lean and scalable
  • Shape strategy and decisions by partnering with leaders across the company, bringing sharp insights on usage, growth, retention, and product
  • Power internal AI workflows, building the structured, well-modeled foundation that makes reliable data querying through agents possible
  • Support the Agentic Data Platform launch with the data infrastructure needed to ship and learn fast
  • Build the team pragmatically, balancing hiring with external support to stay lean and focused
  • Report to the VP of Finance and GM of Data Replication, partnering closely with leaders across both business units
  • Develop and maintain a deep understanding of the company's data assets and analytics capabilities
  • Identify opportunities to improve data quality, completeness, and accessibility

What We Are Looking For

  • Strong data engineering chops, including SQL, modern warehouse stacks (BigQuery or similar), dbt or equivalent, pipeline orchestration
  • A track record of being the strategic data voice in the room, translating product and usage data into decisions executives act on
  • A strong point of view on simplification, having built or operated data functions where lean and scalable mattered more than scope
  • Excellent communication skills, able to hold your own in a board conversation and write a memo that lands
  • Curiosity and energy around AI, seeing agents, LLMs, and modern AI tooling as a core part of how data teams will work
  • Comfort with ambiguity and pace, not fazed by usage-based SaaS, PLG motions, and rapidly evolving product surfaces
  • Experience with Excel and data analysis
  • Ability to work onsite 4 days/week in San Francisco, CA

Nice to Have

  • Experience with data visualization tools, such as Tableau or Power BI
  • Familiarity with cloud-based data platforms, such as AWS or Google Cloud
  • Knowledge of machine learning or deep learning concepts
  • Certification in data engineering or a related field

Benefits and Perks

  • Competitive salary and equity package
  • Opportunity to work with a rapidly growing company and help shape its data strategy
  • Collaborative and dynamic work environment
  • Professional development opportunities, including training and conference sponsorships
  • Flexible work arrangements, including remote work options and flexible hours
  • Access to the latest tools and technologies, including data engineering and AI platforms
  • Comprehensive health and wellness benefits, including medical, dental, and vision insurance
  • Generous paid time off and holiday policy
  • Stock options and 401(k) matching

How to Stand Out

  • Tip: Make sure to highlight your experience with data engineering, SQL, and modern warehouse stacks in your resume and cover letter.
  • Be prepared to discuss your approach to simplifying complex data systems and building lean and scalable data functions.
  • Showcasing your ability to communicate complex data insights to executives is crucial, so be prepared to provide examples of your experience in this area.
  • Familiarize yourself with Airbyte's products and services, and be prepared to discuss how you can contribute to the company's growth and success.
  • Consider reaching out to current or former employees to gain insights into the company culture and what it's like to work at Airbyte.
  • Tip: Be prepared to discuss your experience with AI and machine learning, and how you see these technologies evolving in the future.
  • Highlight your experience working with cross-functional teams, including data scientists, product managers, and engineers.

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