Director of Data & Insights

Director of Data & Insights# Director of Data & Insights Hot Job Headquarters - Alameda, CA 94501## Overview Salary Range$ - $ Salary Position Type Full Time Category Information  Technology## Description The Director of Data & Insights leads the Agency's data systems, architecture, and analytics strategy to support informed decision-making and organizational effectiveness. The Director works collaboratively across divisions to ensure data systems, analytics, and reporting align with organizational priorities and operational needs, while partnering with Evaluation leadership to translate data governance into technical standards, data architecture, reporting tools, and sustainable data practices that foster a data-informed culture.

Under general direction, this position provides strategic leadership for the Agency's data warehouse, advances the transition from manual processes to automated and self-service data solutions, and oversees the development of scalable data systems and reporting capabilities.
* Lead the Data Services team by setting priorities aligned with Agency goals; managing staff, budget, contracts, vendors, and projects; and supporting organizational strategy and continuous improvement.
* Establish project management and performance practices that strengthen team capacity, accountability, and data services delivery.
* Lead the Agency's analytics and data strategy, including reporting, mapping, dashboards, external data, and longitudinal data systems that support Local Tax Initiative priorities and organizational decision-making.
* Establish data quality standards, documentation, validation processes, and evaluate new technologies, including AI, consistent with the Agency's data governance framework.
* Provide strategic leadership for the Agency's data warehouse, data architecture, data pipelines, API integrations, and data engineering to ensure reliable, scalable systems.
* Ensure data products are accurate, accessible, high quality, and clearly communicate organizational performance and outcomes.
* Lead the Agency's data and reporting strategy, including dashboards, self-service reporting, data visualization standards, training, and user support.
* Partner with program teams to develop reporting and decision-support tools that improve planning, performance, and decision-making.
* Build partnerships across the Agency and with external organizations to advance data initiatives, strengthen data literacy, and promote a data-informed culture.
* Oversee the process for prioritizing and fulfilling data requests, balancing day-to-day needs with long-term strategic priorities.
* Provide strategic oversight of workload, capacity planning, and service delivery while delegating daily request management to the data team.
* Lead the responsible use of AI by establishing standards for privacy, quality, governance, and human oversight in partnership with the Evaluation team.## Qualifications
** Minimum Qualifications
*** Any combination of training and experience that would provide the required knowledge, skills, and abilities is qualifying. Additional experience and/or education can be substituted to meet typical qualifications. A typical way to obtain the required qualifications would be:
* Seven (7) years of progressively responsible experience in data analytics, data engineering, business intelligence, or a closely related technical field, including at least five (5) years in a management-level or senior leadership capacity with full team and budget accountability and completion of a bachelor’s degree from an accredited college or university in public policy, data, evaluation, or a closely related field.

Additional relevant work experience may be substituted to meet the college coursework/bachelor's degree standard.
** Knowledge of:
*** Proficiency with BI and data visualization platforms (e.g., Tableau, Power BI, Looker or equivalent); demonstrated experience designing and launching self-service analytics environments.
* Experience with data processing and analysis tools such as R, Python, SQL, or equivalent; ability to work alongside and technically direct data engineering staff.
* Understanding of…