Senior Technical Manager, Data, Analytics, and AI Solutions

Are you ready for what’s next?

Are you ready for what’s next? Come explore opportunities within Brunswick, a global marine leader committed to challenging conventions and innovating next-generation technologies that transform experiences on the water and beyond. Brunswick believes “Next Never Rests™,” and we offer a variety of exciting careers and growth opportunities within united teams defining the future of marine recreation.

Location:

Fond du Lac, WI or Mettawa, IL

Workplace Category:
Hybrid

Travel Required:

Ability to travel domestically and internationally, up to 15% as business needs require.

Direct Reports:
None

Pay Range: $118,400 - $174,000

Visa Sponsorship:
Applicants must be currently authorized to work in the United States. This position is not eligible for employment visa sponsorship now or in the future.

Relocation:
Relocation assistance is not routinely provided and may be considered for exceptional candidates.

Innovation is the heart of Brunswick. See how your contributions will help transform vision into reality:

The Senior Technical Manager, Data, Analytics, and AI Solutions is responsible for leading the design, planning, and delivery of data, analytics, reporting, ETL, and AI-enabled solutions. This role partners closely with business stakeholders, technology teams, data engineers, architects, analysts, and leadership to translate business needs into scalable technical solutions that support data-driven decision making.

This position requires a strong blend of technical expertise, solution ownership, stakeholder engagement, project intake management, and team leadership. The ideal candidate possesses strong communication skills, deep understanding of data and analytics platforms, experience with ETL and reporting technologies, and the ability to build trusted partnerships across business and IT organizations.

The role will serve as a technical leader and solution advisor, managing a team, helping shape data and analytics roadmaps, define phased implementation plans, manage demand intake, and ensure that solutions are aligned to enterprise architecture, business value, and long-term platform strategy.

• Business Partnership & Stakeholder Engagement
• Act as a trusted technical partner to business stakeholders and technology leaders.
• Partner with business teams to understand operational challenges, data needs, reporting gaps, and analytics opportunities.
• Communicate complex technical concepts in a clear, business-friendly manner.
• Facilitate alignment between business priorities and technical delivery plans.
• Build strong partnerships across business functions, IT, enterprise architecture, data engineering, analytics, AI, and project delivery teams.
• Support change management, adoption, training, and value realization for delivered solutions.
• Technical Solution Leadership
• Lead technical planning, design, and delivery of data, analytics, reporting, ETL, and AI-related solutions.
• Partner with architects, engineers, analysts, and business teams to define scalable solution approaches.
• Translate business objectives into technical requirements, solution designs, data flows, integration patterns, and implementation plans.
• Provide technical oversight across data pipelines, reporting environments, semantic layers, dashboards, data models, and analytics platforms.
• Ensure solutions are scalable, secure, supportable, and aligned with enterprise data and technology standards.
• Evaluate technical tradeoffs, dependencies, risks, and architecture considerations for data and analytics initiatives.
• Requirements Gathering & Technical Analysis
• Lead workshops, stakeholder interviews, and discovery sessions to identify business needs and opportunities.
• Conduct requirements gathering sessions with business stakeholders, subject matter experts, and technical teams.
• Elicit and document business, functional, technical, data, reporting, and integration requirements.
• Translate business requests into detailed user stories, technical specifications, data mapping documents, process flows, and acceptance criteria.
• Validate requirements with stakeholders and ensure requirements are clear, complete, and…