{"id":1729118,"url":"https://alion.io/job/brunswick-senior-technical-manager-data-analytics-and-ai-solutions","title":"Senior Technical Manager, Data, Analytics, and AI Solutions","company":{"id":1792099,"name":"Brunswick","domain":"brunswick.com","url":"https://alion.io/company/brunswick-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":19,"ghost_share":0,"stale_share":0.947,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Fond du Lac, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":118400,"max":174000,"currency":"USD","period":"year","gross":null,"usd_annual":174000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Agile","optional":true},{"name":"Azure","optional":true},{"name":"Azure SQL Database","optional":true},{"name":"Databricks","optional":true},{"name":"Power BI","optional":true},{"name":"Scrum","optional":true}],"status":"live","first_seen_at":"2026-08-13T00:00:00Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-18T21:43:31Z","board_verified":true,"closed_at":null,"days_open":67,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":67},"description":"Are you ready for what’s next?\nCome 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.\nLocation: Fond du Lac, WI or Mettawa, IL\nWorkplace Category: Hybrid\nTravel Required: Ability to travel domestically and internationally, up to 15% as business needs require.\nDirect Reports: None\nPay Range: $118,400 - $174,000\nVisa 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.\nRelocation: Relocation assistance is not routinely provided and may be considered for exceptional candidates.\nInnovation is the heart of Brunswick. See how your contributions will help transformvision into reality:\nPosition Overview:\nThe 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.\nThis 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.\nThe 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.\nKey Responsibilities\n- Business Partnership & Stakeholder Engagement\nAct as a trusted technical partner to business stakeholders and technology leaders.\nPartner with business teams to understand operational challenges, data needs, reporting gaps, and analytics opportunities.\nCommunicate complex technical concepts in a clear, business-friendly manner.\nFacilitate alignment between business priorities and technical delivery plans.\nBuild strong partnerships across business functions, IT, enterprise architecture, data engineering, analytics, AI, and project delivery teams.\nSupport change management, adoption, training, and value realization for delivered solutions.\n- Technical Solution Leadership\nLead technical planning, design, and delivery of data, analytics, reporting, ETL, and AI-related solutions.\nPartner with architects, engineers, analysts, and business teams to define scalable solution approaches.\nTranslate business objectives into technical requirements, solution designs, data flows, integration patterns, and implementation plans.\nProvide technical oversight across data pipelines, reporting environments, semantic layers, dashboards, data models, and analytics platforms.\nEnsure solutions are scalable, secure, supportable, and aligned with enterprise data and technology standards.\nEvaluate technical tradeoffs, dependencies, risks, and architecture considerations for data and analytics initiatives.\n- Requirements Gathering & Technical Analysis\nLead workshops, stakeholder interviews, and discovery sessions to identify business needs and opportunities. \nConduct requirements gathering sessions with business stakeholders, subject matter experts, and technical teams.\nElicit and document business, functional, technical, data, reporting, and integration requirements.\nTranslate business requests into detailed user stories, technical specifications, data mapping documents, process flows, and acceptance criteria.\nValidate requirements with stakeholders and ensure requirements are clear, complete, and actionable for delivery teams.\nBridge communication between business users and technical teams to ensure shared understanding of needs, constraints, and solution design.\n- Roadmapping & Phased Planning\nDevelop and maintain data, analytics, reporting, ETL, and AI solution roadmaps.\nCreate phased implementation plans that balance business value, technical complexity, platform readiness, resource availability, and dependencies.\nSequence initiatives across short-term tactical needs and long-term strategic modernization efforts.\nSupport technology rationalization, platform modernization, cloud migration, and analytics transformation planning.\nPartner with business and IT leadership to prioritize investments and define delivery milestones.\nCommunicate roadmap progress, risks, dependencies, and decision points to leadership and stakeholders.\n- Data, ETL & Reporting Platform Expertise\nProvide technical leadership across ETL, data integration, business intelligence, reporting, and analytics platforms.\nBring experience with ETL and data integration tools such as Microsoft Fabric/Synapse/Data Factory, Informatica, and Alteryx.\nSupport design and delivery of data pipelines, data models, transformation logic, and reporting datasets.\nUnderstand enterprise reporting and analytics environments, including dashboarding, semantic models, data marts, data warehouses, and self-service analytics.\nProvide technical guidance for Oracle Analytics environments, including Oracle Analytics Cloud, OBIEE, Oracle data models, and related reporting ecosystems.\n- Modern Analytics Enablement\nPartner with technical teams to modernize legacy reporting and data integration environments into cloud-based analytics platforms.\nSupport cloud data architecture, data movement, data transformation, data storage, security, and performance considerations.\nHelp evaluate where AI, machine learning, automation, and natural language analytics can improve business processes and insights.\nEnsure data solutions align with enterprise security, governance, privacy, and compliance requirements.\n- Tool Consolidation & Modernization\nLead or support ETL, reporting, and analytics tool consolidation initiatives.\nAssess duplicate tools, overlapping capabilities, redundant reports, fragmented data sources, and inconsistent reporting processes.\nDevelop recommendations for rationalizing reporting platforms, ETL tools, dashboards, and analytics assets.\nPartner with business and technical teams to migrate reports, retire legacy solutions, and standardize on strategic platforms.\nSupport modernization efforts from legacy BI platforms to modern cloud-based data and analytics solutions.\nHelp define enterprise standards for reporting, data integration, analytics delivery, and self-service enablement.\n- Project Intake, Prioritization & Governance\nManage the intake process for data, analytics, reporting, AI, and technology requests.\nEvaluate incoming requests for business value, technical complexity, strategic alignment, dependencies, resource needs, and platform fit.\nFacilitate intake review sessions, prioritization discussions, and roadmap alignment meetings.\nMaintain visibility into demand pipeline, project backlog, delivery status, and resource capacity.\nEnsure incoming requests are properly scoped, documented, prioritized, and transitioned to delivery teams.\nEstablish consistent processes, templates, and governance practices for intake and requirements management.\n- Team Leadership & People Management\nLead, coach, and develop a team of technical, business, and data analysts.\nSet team goals, delivery expectations, development plans, and performance standards.\nProvide guidance on requirements gathering, technical analysis, solution design, stakeholder management, and delivery best practices.\nManage team workload, resource allocation, project assignments, and capacity planning.\nBuild a high-performing team culture focused on technical excellence, accountability, collaboration, and continuous improvement.\nMentor team members on data platforms, analytics tools, AI concepts, cloud technologies, and enterprise delivery practices.\nEstablish reusable standards, documentation templates, solution patterns, and delivery methods.\nRequired Qualifications:\nBachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, Business, or a related field.\n7+ years of experience in data, analytics, business intelligence, ETL, reporting, solution delivery, or related technology roles.\n3+ years of people leadership or technical team leadership experience.\nStrong experience conducting requirements gathering and translating business needs into technical requirements.\nExperience developing roadmaps, phased implementation plans, and technical delivery strategies.\nStrong understanding of data integration, ETL, data warehousing, data modeling, reporting, dashboards, and analytics platforms.\nExperience working with business stakeholders and technical teams in a cross-functional environment.\nProven ability to manage project intake, prioritize demand, and align work to business value and technical feasibility.\nStrong communication skills with the ability to explain technical concepts to non-technical audiences.\nExperience supporting enterprise-scale data and analytics solutions.\nPreferred Qualifications:\nExperience with Oracle Analytics technologies, including Oracle Analytics Cloud, OBIEE, Oracle BI Applications, Oracle data warehouses, or Oracle semantic/reporting layers.\nExperience with Azure technologies such as Azure Data Factory, Azure Synapse, Azure Data Lake, Azure Databricks, Azure SQL, Azure AI Services, Microsoft Fabric, and Power BI.\nExperience with ETL and data integration tools such as Informatica, Microsoft Fabric/Synapse/Data Factory, and Alteryx.\nExperience with reporting, BI, or ETL tool consolidation initiatives.\nExperience modernizing legacy reporting platforms and migrating to cloud-based analytics ecosystems.\nExperience with data governance, metadata management, data quality, master data, and semantic layer design.\nCertifications in Azure, Power BI, Microsoft Fabric, Oracle, Agile, Scrum, PMP, CBAP, or related disciplines are a plus.\nIdeal Candidate Profile\nThe ideal candidate is a technically strong data and analytics leader who can operate across business engagement, solution design, platform modernization, and delivery execution. This person understands ETL pipelines, reporting platforms, Oracle Analytics, Azure technologies, data architecture, and AI-enabled analytics, while also being able to collaborate with business leaders, gather requirements, build roadmaps, and lead a high-performing team. They are equally comfortable discussing business outcomes with stakeholders, technical architecture with engineers, reporting strategy with analysts, and roadmap tradeoffs with leadership.\nThe hiring range for this position is $118,400 - $174,000 annually. The actual base pay offered will vary based on multiple factors including job-related knowledge/skills, relevant experience, business needs, and geographic location. Compensation decisions are dependent upon the specifics of the candidate’s qualifications and the business context.\nIn addition to base pay, this position is eligible for an annual discretionary bonus. This position is eligible to participate inBrunswick's comprehensive and high-quality benefits offerings, including medical, dental, vision, paid vacation, 401k (up to 4% match), Health Savings Account (with company contribution), well-being program, product purchase discounts and much more. Details about our benefits can be found here.\nWhy Brunswick:\nWhatever tomorrow brings, we’ll beat the leading edge. As the clearleader in the marine industry, we’re committedto our values and supporting our exceptional people. 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