[Hiring] Enterprise AI & Data Systems Manager @Ventura County

Role Description

The Enterprise AI & Data Systems Manager will help shape how the County evaluates, designs, implements, and responsibly uses artificial intelligence, automation, analytics, and enterprise data technologies. This position will lead AI pilots and proof-of-concept efforts, support the development of the County's AI and data strategy, and help establish the governance, security, and operational standards needed for successful implementation. The role will also collaborate with business and technical stakeholders, evaluate emerging technologies, develop recommendations, and supervise staff supporting these initiatives.

Qualifications

• Extensive professional level experience as a systems designer and programmer; database designer and modeler.
• Education/training in client/server applications using Unix and Windows operating systems.
• Experience in relational database environments such as SYBASE or DMS.
• Experience using an object-oriented programming language, such as PowerBuilder and CASE tools.

Requirements

• Work experience with at least two (2) or more of the following:
  • Systems design and development;
  • Data architecture and modeling;
  • Enterprise application development;
  • Cloud or data platforms;
  • Related technologies within complex enterprise environments.
• Work experience with generative artificial intelligence platforms, AI-enabled applications, AI/data readiness initiatives, or closely related AI technologies.
• Possession of or ability to obtain a valid California driver license.
• May be required to travel within the County to conduct studies or troubleshoot.
• May be required to work long hours to resolve production problems or meet project deadlines.
• Willing and able to work nights, weekends, and holidays on an on-call basis.
• Excellent written and verbal communication.

Benefits

• General Salary Increase of 3.5% on December 20, 2026 and 3.5% on December 19, 2027.
• Educational Incentive for completion of an associate degree (2.5%), a bachelor's degree (3.5%), or a graduate degree (5%).
• Annual Leave: 208 hours per year, increasing to 288 hours after five (5) years of service.
• Annual Leave Redemption: Option to "cash in" or redeem up to 100 hours of Annual Leave hours per year after using 80 hours in the preceding twelve (12) months.
• Deferred Compensation: Eligible to participate in the County's 401(k) Shared Savings Plan and/or the Section 457 plan with up to a 3% match on your 401(k) contributions.
• Health Plans: Flexible allowance credit of up to $26,626.86 annually for purchasing medical, dental, and/or vision insurance.
• Flexible Spending Accounts: Choice of participation in the Flexible Spending Accounts for reimbursement of pre-tax dollars for IRS-approved dependent care and health care expenses.
• Pension Plan: Contributions to the County's Retirement Plan and Social Security.
• Holidays: 13 paid days per year, including a scheduled floating holiday.

Examples Of Duties

• Evaluates AI-enabled tools, platforms, and services for alignment with County business needs, security, privacy, governance, integration, supportability, and operational readiness.
• Develops technical recommendations regarding the architecture, selection, configuration, testing deployment, and appropriate use of AI-enabled tools, automation technologies, data platforms, and emerging technologies.
• Designs and coordinates AI tests, pilot, proof-of-concept, and sandbox environments in partnership with security, infrastructure, application, data governance, and business stakeholders.
• Supports AI strategy and roadmap planning by advising on data platform needs, governance requirements, integration patterns, analytics readiness, tool evaluation, and responsible use of enterprise data.
• Establishes and maintains data repositories, data catalogs, data dictionaries, metadata directories, and documentation supporting enterprise data systems, analytics, automation, and AI-enabled use cases.
• Supports planning and implementation of enterprise data and analytical platforms, including data warehouse, data Lakehouse, business intelligence, self-service analytics, and related data integration environments.
• Defines and documents data structures, relationships, business rules, authorized uses, data lineage, ownership, classifications, and operational requirements.
• Participates in customer requirement sessions to identify business rules, data resources, reporting needs, analytic requirements, automation opportunities, and AI-enabled use cases.
• Reviews proposed data integrations, dashboards, automation efforts, AI tools, and AI-enabled use cases for alignment with County standards, security requirements, governance practices, and operational guidelines.
• Coordinates with vendors and internal stakeholders to evaluate emerging data, analytics, automation, and AI technologies; documents findings; and presents recommendations.
• Prepares and presents reports, standards, findings, recommendations, and implementation options related to data systems, analytics platforms, AI readiness, tool evaluation, and sandbox requirements.
• Supervises, trains, and evaluates subordinate staff.
• Performs other related duties, as assigned.

Knowledge, Skills and Abilities

• Thorough knowledge of AI solution architecture; large language models; retrieval-augmented generation; AI agents and orchestration; APIs and enterprise integration patterns; identity and access management; AI monitoring and operationalization.
• Knowledge of artificial intelligence concepts; generative AI platforms; AI-enabled productivity tools; automation technologies; sandbox and proof-of-concept environments; responsible use of enterprise data in AI-enabled systems.
• Understanding of security, privacy, governance, and operational considerations related to AI adoptions.
• Knowledge of database technology; data modeling, metadata management; data quality; data governance; data integrations; data warehouse and Lakehouse concepts.
• Familiarity with business intelligence, self-service analytics; and tools used to support enterprise systems, analytics, automation, and AI initiatives.