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Head of Data

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Octave

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Location:
United States

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

239300.00 - 280000.00 USD / Year

Job Description:

As Head of Data, you will own our end-to-end data function: analytics, data engineering, and data science. You will set the vision and roadmap for how we use data and AI/ML across the company, ensure our infrastructure is reliable and scalable, and lead the development of product- and business-facing AI applications. This role is both strategic and operational: you’ll partner with executives to shape company direction, while also ensuring your teams deliver reliable pipelines, actionable insights, and production-ready models. You’ll also be a team builder, responsible for developing current talent and hiring externally to close skill gaps in critical areas like advanced data science, ML engineering, and data governance.

Job Responsibility:

  • Define and drive the company-wide data & AI/ML vision, aligned with business and product strategy
  • Partner with executives across Product, Engineering, Growth, and Finance to ensure data informs key decisions and creates competitive advantage
  • Evangelize data culture — making data and AI central to how we operate and build
  • Oversee pipelines, warehouse, and infrastructure for reliability, observability, and scale
  • Establish a single source of truth for KPIs and reporting
  • Implement governance for data quality, security, and compliance
  • Lead analytics team to deliver insights that drive product, growth, and operations
  • Scale self-serve analytics adoption while maintaining consistency and quality
  • Build frameworks for experimentation (A/B testing, causal inference)
  • Launch and scale high-impact AI/ML initiatives, from pilots to production
  • Build the foundation for ML operations: monitoring, retraining pipelines, feature store
  • Ensure responsible AI practices around bias, fairness, and explainability
  • Explore emerging AI capabilities (LLMs, generative AI) to keep us ahead of the curve
  • Lead, mentor, and develop a growing team of analysts, engineers, and scientists
  • Identify gaps and hire externally for critical expertise (e.g., ML engineers, senior scientists)
  • Define career ladders and growth paths to retain and motivate top talent
  • Build the company’s reputation as a top destination for data and AI talent
  • Develops, coordinates, and implements systems, policies, procedures, and productivity standards
  • Provide leadership and guidance to the team, ensuring the achievement of goals and objectives
  • Foster a positive and collaborative work environment
  • Oversee the planning, execution, and completion of projects and initiatives within the team
  • Establish and monitor operational processes and workflows to enhance efficiency and productivity
  • Streamline operational processes, enhance efficiency, and improve overall organizational performance
  • Implement best practices, monitor key performance indicators (KPIs), and develop strategies to achieve operational excellence
  • Ensures a safe, secure, and compliant work environment
  • Accomplishes staff results by communicating job expectations
  • planning, monitoring, and appraising job results
  • Build and manage a high-performing team, including hiring, training, and development
  • Provide leadership to the team, including setting goals, providing guidance, and ensuring the team's overall success
  • Set performance expectations and goals for team members
  • Conduct regular performance evaluations, provide feedback, and address performance issues
  • Identify skill gaps within the team and develop strategies for filling those gaps
  • Support employee development through training, mentoring, and coaching
  • Identify high-potential employees and create succession plans

Requirements:

  • 8+ years of experience in data analytics/data science
  • 4+ years in a leadership role scaling teams and delivering cross-functional impact
  • Expertise with analytics reporting and data platforms Tableau, SQL, Adverity
  • Fluency in SQL and Python
  • experience with modern data stacks (e.g. BigQuery, dbt, Metabase, Mixpanel)
  • Proven leadership experience overseeing multi-disciplinary data teams (engineering, analytics, science)
  • Track record of hiring and scaling teams at high-growth startups or scale-ups
  • Experience shipping ML/AI solutions into production with measurable business impact
  • Strong technical background: modern data stacks (dbt, Snowflake, Airflow), programming (Python, SQL), ML/AI frameworks
  • Strategic thinker who can roll up sleeves when needed
  • Excellent communication skills and ability to ‘translate’ between the data and the business via layman’s terminology of complex analytical methods to deliver a clear story to influence your recommendations with data and insights
  • Established track record of building and leading high-performing data teams, fostering a culture of collaboration, accountability, and knowledge sharing
  • strong desire to lead and grow the team’s expertise and leadership skills
  • Self-motivated to work with diverse business scenarios, handle multiple priorities, and have a business & consultancy mindset while being technically (data) savvy
  • Advanced modeling techniques, strategic analysis skills, and understanding of SaaS metrics
  • Proven ability to drive business intelligence initiatives across the full data stack, from automated pipelines (Fivetran, dbt, Coalesce) through warehouses (Snowflake, ClickHouse, Databricks) to visualization tools (Sigma, Power BI, Tableau, Hex)
  • ensuring organizational data integrity and strategic insight generation
  • In-depth understanding of modern data governance, security, and compliance best practices, with the ability to balance data accessibility with data integrity for data-driven projects
  • Must be eligible to work in the United States without sponsorship now or in the future
What we offer:
  • company sponsored life insurance
  • disability and AD&D plans
  • Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options
  • Octave offers generous Paid Time Off as well as paid parental leave benefits
  • equity in the form of stock options
  • an annual bonus

Additional Information:

Job Posted:
December 10, 2025

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

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