Group Analytics Solution Manager

설명

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.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.