Jobgether is hiring a Head of Data Analytics to lead the vision, strategy, and execution of an AI-first data function. In this remote, US-based role, you will oversee a high-impact team delivering scalable analytics products and actionable insights.

What You'll Do

Lead the overall data and analytics strategy, building an AI-first function that delivers scalable, self-service insights across the business.
Collaborate with senior leadership and cross-functional teams to define and prioritize data initiatives that drive measurable business outcomes.
Manage, mentor, and develop a team of data scientists and analysts to enhance quality, efficiency, and impact of analytics work.
Build reusable, well-documented analytics assets and data products that accelerate decision-making.
Promote a self-service data culture by enabling business users to explore and utilize data through dashboards, tools, and training.
Deliver advanced analytics, including forecasting, segmentation, behavioral analysis, and predictive modeling to support strategic decisions.
Ensure data quality, governance, and accessibility while balancing speed of execution.
Stay current with advancements in AI, ML, and analytics, applying emerging technologies to improve business outcomes.

What We're Looking For

Master’s degree in a quantitative, technical, or mathematical discipline (or equivalent practical experience).
10+ years of experience transforming complex datasets into actionable insights, dashboards, and advanced analytics.
Proven leadership experience managing high-performing teams of analysts and data scientists.
Deep technical expertise in SQL, Python, and experience with analytics/visualization tools such as Tableau, Power BI, or Alteryx.
Experience with cloud data platforms (e.g., Databricks) and modern AI/ML frameworks.
Strong business acumen and experience applying data strategy in fintech, banking, or high-growth environments.
Excellent analytical, problem-solving, and communication skills, capable of influencing senior leadership.
Ability to manage multiple priorities, adapt to evolving needs, and promote a culture of data-driven decision-making.

Nice to Have

Knowledge of data modeling, scalable self-service environments, and familiarity with Lakehouse or Medallion architecture.

Technical Stack

SQL, Python, Tableau, Power BI, Alteryx, Databricks

Team & Environment

You will oversee a high-impact team of data scientists and analysts, reporting directly to senior leadership.

Benefits & Compensation

Salary range: $233,000 – $285,000 per year + equity via stock options or equity participation.
Comprehensive health and dental insurance coverage.
Generous paid time off and flexible vacation policy.
Professional development opportunities and access to modern data tools and platforms.