General Motors Jobs

Group Analytics Solution Manager

General Motors

Group Analytics Solution Manager

Posted 5 Hours Ago

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Warren, MI, USA

Hybrid

Senior level

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing

We make amazing products people love, for every journey.

The Role

Lead a team to translate complex business needs into scalable analytics, BI, and AI solutions. Set solution direction, manage delivery from discovery through implementation and modernization, ensure governance, data quality, and operational readiness, partner cross-functionally, track adoption and impact, and develop talent while prioritizing work and removing blockers.

Summary Generated by Built In

Description
The Role
The Group Analytics Solution Manager leads a team that turns complex business needs into practical analytics, data, business intelligence, and artificial intelligence solutions. This role sets solution direction, leads delivery from discovery through implementation and continuous improvement, and partners across business and technical teams to deliver measurable outcomes. The manager develops talent, manages priorities and capacity, and ensures solutions are scalable, secure, governed, and ready for adoption.
What You'll Do

Lead, coach, and manage a team of analytics professionals. Set priorities, clarify roles, assess performance, develop talent, and align team capacity to business needs.
Build team capability through skill development, succession planning, and thoughtful assignment of work.
Own analytics initiatives from opportunity framing through implementation. Define scope, roadmaps, milestones, dependencies, risks, and delivery plans.
Turn ambiguous business needs into clear requirements, key business questions, phased plans, and recommendations that balance value, feasibility, governance, risk, and resources.
Set solution direction for analytics, customer experience, aftersales, and artificial intelligence capabilities, including applications, data products, dashboards, reports, and related business solutions.
Lead discovery and design. Identify priority use cases, source systems, data needs, operating constraints, governance needs, and minimum viable scope.
Partner with business, analytics, engineering, data science, business intelligence, user experience, governance, and platform teams to align goals and coordinate delivery.
Lead modernization and migration efforts for analytics products and supporting data assets. Assess dependencies, align schemas and access, and prepare solutions for production release.
Replace manual or fragmented analytical and reporting processes with scalable, governed, supportable solutions that improve reliability and transparency.
Define operating models for assigned products and initiatives. Establish prioritization, accountability, backlog ownership, data quality expectations, access controls, support ownership, and escalation paths.
Manage product and dashboard enhancements. Use stakeholder feedback to improve usability, prioritize value, and create actionable delivery plans.
Track business metrics, adoption, delivery health, operational readiness, risks, ownership, and impact. Communicate progress to stakeholders and leaders.
Create decision-ready materials, including project updates, milestone reviews, recommendations, architecture summaries, and prioritization options.
Lead day-to-day cross-functional execution by coordinating work, removing blockers, and promoting accountability for outcomes.

Your Skills & Abilities (Required Qualifications)

Bachelor's degree in business, analytics, information systems, computer science, engineering, data science, or a related field.
Significant progressive experience in analytics, data, business intelligence, digital products, program leadership, or a related function.
Experience leading cross-functional business and technical outcomes in a complex enterprise environment.
Formal people leadership experience, including performance management, talent development, workload planning, and team accountability.
Strong working knowledge of enterprise analytics and data platforms, workflow orchestration, production support, release coordination, and deployment of analytical assets.
Ability to work in governed data environments, including access models, entitlements, access groups, service accounts, workspace onboarding, approval workflows, and secure access patterns.
Ability to apply data modeling and data curation concepts, including source-to-target mapping, analytics-ready structures, canonical datasets, cross-source integration, and domain-aligned data products.
Strong working knowledge of dashboard and business intelligence delivery using tools such as Tableau and Power BI.
Strong data-quality and technical problem-solving skills, including investigation of missing data, duplicate records, schema issues, access issues, refresh failures, dependency conflicts, and downstream reporting impacts.
Experience guiding technical teams through source-system dependencies, access constraints, migration impacts, operational readiness, deployment patterns, and production support needs.
Ability to connect architecture, governance, and operating model decisions to business outcomes.
Ability to work across multiple analytics products or domains while balancing solution direction, delivery execution, and operational needs.
Strong written and verbal communication skills, including the ability to create clear, decision-ready materials for leaders and stakeholders.

What Can Give You a Competitive Advantage (Preferred Qualifications)

Master's degree in business administration, analytics, information systems, engineering, data science, or a related field.
Familiarity with artificial intelligence and generative artificial intelligence analytics use cases, such as summarization, classification, clustering, insight generation, narrative outputs, and plain-language response experiences.
Experience leading modernization across modern data platforms, including migration planning, curated data layers, schema and job changes, and downstream analytics readiness.
Ability to develop, inspire, and motivate a team while supporting employee growth and delivery continuity.
Fosters collaboration and teamwork across business and technical disciplines.
Provides strategic perspective and connects day-to-day decisions to longer-term business outcomes.
Champions change and takes thoughtful, informed risks to improve products and processes.
Demonstrates integrity, honesty, accountability, and trust.
Demonstrates initiative, sound judgment, and strong problem-solving skills.
Communicates complex ideas clearly in writing and in conversation.

About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Skills Required

Bachelor's degree in business, analytics, information systems, computer science, engineering, data science, or related field
Significant progressive experience in analytics, data, business intelligence, digital products, or program leadership
Experience leading cross-functional business and technical outcomes in a complex enterprise environment
Formal people leadership experience including performance management, talent development, workload planning, and team accountability
Working knowledge of enterprise analytics and data platforms, workflow orchestration, production support, release coordination, and deployment of analytical assets
Ability to work in governed data environments including access models, entitlements, service accounts, workspace onboarding, and approval workflows
Ability to apply data modeling and data curation concepts including source-to-target mapping, analytics-ready structures, canonical datasets, and cross-source integration
Strong working knowledge of dashboard and business intelligence delivery using tools such as Tableau and Power BI
Strong data-quality and technical problem-solving skills (investigating missing data, duplicates, schema issues, refresh failures, dependency conflicts)
Experience guiding technical teams through source-system dependencies, access constraints, migration impacts, operational readiness, and production support needs
Ability to connect architecture, governance, and operating model decisions to business outcomes
Ability to manage multiple analytics products/domains while balancing solution direction, delivery execution, and operational needs
Strong written and verbal communication skills, including creating decision-ready materials for leaders and stakeholders
Master's degree in business, analytics, information systems, engineering, data science, or related field
Familiarity with artificial intelligence and generative AI analytics use cases (summarization, classification, clustering, narrative outputs)
Experience leading modernization across modern data platforms, including migration planning and curated data layers
Demonstrated ability to develop, inspire, and motivate a team while supporting employee growth and delivery continuity
Ability to foster collaboration across business and technical disciplines and provide strategic perspective
Willingness to champion change, take thoughtful risks, and demonstrate integrity, accountability, and sound judgment

What the Team is Saying

General Motors Compensation & Benefits Highlights

Healthcare Strength — Health coverage is described as comprehensive, with company‑paid healthcare for many UAW‑represented hourly employees and broad medical, dental, vision, mental‑health, virtual‑care, life, and disability programs noted across groups. Supplemental unemployment benefits during downtime are also referenced for represented hourly employees.
Retirement Support — Retirement programs prominently feature a 401(k) with a 4% automatic company contribution plus up to a 6% match for eligible roles, and certain groups note pension or defined‑contribution arrangements. Retiree resources, including a VEBA trust for healthcare in specific populations, are also cited.
Parental & Family Support — Family support is emphasized through up to 12 weeks of paid family leave for salaried employees and a lifetime reimbursement benefit around $40,000 for fertility, adoption, and related family‑forming expenses via Carrot. Backup care and other caregiver supports are also highlighted in company materials.

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The Company

HQ: Detroit, MI

165,000 Employees

Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week