Enterprise AI & Data Strategy Lead

WSB and Associates; Saint Louis Park (MN); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401K with match

Paid time off

Paid holidays

Tuition reimbursement

Professional growth opportunities

Job summary

WSB seeks a Senior Manager, AI & Data to lead enterprise AI, data, and application strategy across the firm. You will partner with executive leaders to identify, prioritize, and implement AI-enabled solutions, establish enterprise data strategy, and oversee application development and product management functions.

The role provides strategic and technical leadership for software teams, drives AI governance, and ensures investments align with business objectives to deliver measurable value.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field; or an equivalent combination of education and experience.
• Master's degree in a related discipline is preferred.
• Progressive leadership experience in technology, software engineering, data, AI, digital transformation, or related fields.
• Demonstrated success leading enterprise AI initiatives from strategy through implementation and adoption, resulting in measurable business outcomes.
• Experience designing, implementing, and overseeing enterprise-scale technology architectures and production solutions.
• Experience leading software development teams and delivering technology solutions in complex organizational environments.
• Strong product management experience, including roadmap development, prioritization, stakeholder engagement, and lifecycle management.
• Experience developing and executing enterprise data strategies in partnership with data engineering teams.
• Knowledge of data governance, data quality management, analytics, and AI model evaluation practices.
• Experience establishing AI governance frameworks, policies, standards, and best practices.
• Demonstrated ability to influence executive leadership, lead organizational change, and build strong partnerships across business and technology functions.
• Licenses/Certifications such as Microsoft Certified: Azure AI Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert.

Responsibilities

• Develop, execute, and maintain the organization's AI strategy and roadmap, identifying priorities and ensuring alignment with business objectives.
• Partner with leaders to identify, prioritize, and implement high-value AI, automation, and data-driven solutions that improve operational effectiveness and business performance.
• Lead the evaluation, design, implementation, and lifecycle management of AI technologies, applications, and enterprise platforms, including build, buy, and retirement decisions.
• Drive enterprise-wide adoption of AI capabilities through change management, governance, training programs, communication, and performance measurement.
• Provide strategic and technical leadership for software development teams utilizing AI-augmented delivery practices to improve team capacity, efficiency, and delivery outcomes.
• Own the enterprise application portfolio, including product strategy, roadmap development, prioritization, support models, performance management, and lifecycle governance.
• Lead the development and execution of the enterprise data strategy in partnership with data engineering teams, ensuring alignment of data capabilities, investments, and business priorities.
• Establish and maintain technology standards related to architecture, application design, APIs, integrations, security, documentation, code quality, and operational support.
• Collaborate with technology, security, and business leaders to establish and operationalize AI governance, acceptable use standards, risk management practices, and citizen development frameworks.
• Provide architectural guidance and oversight for enterprise technology solutions, ensuring scalability, security, reliability, and alignment with organizational goals.
• Monitor industry trends, emerging technologies, and evolving AI capabilities to identify opportunities that create sustainable business value.
• Build strong partnerships with executive leadership and key stakeholders, translating business needs into technology strategies and actionable solutions.
• Track, analyze, and communicate KPIs, including AI adoption, business outcomes, and delivery metrics.
• May remain in stationary position for extended periods.
• Perform other duties as assigned.

Skills

AI strategy leadership

Data strategy

Enterprise architecture

Product management

Stakeholder engagement

Education

Bachelor's degree in CS/IT/SE/Data Science

Master's degree preferred

Tools

Azure AI Services

Microsoft 365 Copilot

Power BI

Snowflake

Salesforce

Deltek Vantagepoint

Job description

WSB seeks a Senior Manager, AI & Data to lead enterprise AI, data, and application strategy across the firm. You will partner with executive leaders to identify, prioritize, and implement AI-enabled solutions, establish enterprise data strategy, and oversee application development and product management functions.

The role provides strategic and technical leadership for software teams, drives AI governance, and ensures investments align with business objectives to deliver measurable value.