Sr. Manager of Data, AI & Innovation
Creative Financial Staffing
Grand Rapids, MI · Posted November 5, 2026
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Where Grand Rapids, MI ranks
Where Grand Rapids, MI placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #9Cities with the most jobs that do not need a four-year degree in the Great Lakes57 jobs · of 36
- #11Cities with the most jobs that do not need a four-year degree in the Midwest57 jobs · of 51
- #12Cities where the biggest share of jobs do not need a four-year degree in the Great Lakes17% · of 39
- #12Best cities for software and engineering jobs in the Great Lakes99 openings · of 48
- #15Best college towns for junior jobs in the Great Lakes37% · of 39
- #15Cities where the biggest share of jobs do not need a four-year degree17% · of 100
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
About the job
Position: Sr. Manager of Data, AI & Innovation Salary: $150,000-$210,000 + Bonus Benefits: Medical/dental/vision, Retirement Plan w/ 6% match, 3 Weeks PTO, Tuition Reimbursement, Bonus Potential, etc. Location: Hybrid/Remote flexibility
Job Overview: The Sr. Manager of Data, AI & Innovation will lead enterprise-wide data, analytics, AI, and innovation initiatives. This role will partner closely with business leaders across Finance, Operations, Sales, HR, and other functional areas to identify opportunities where technology, data, and automation can improve business outcomes. The ideal candidate is equally comfortable discussing business strategy and technical concepts, with the ability to build a long-term roadmap while establishing the data governance, analytics, and AI foundations needed to support future growth. This is a highly visible leadership role with the opportunity to build and scale a growing innovation and data function from the ground up.
Responsibilities of the Sr. Manager of Data, AI & Innovation:
Lead the organization’s innovation, data, analytics, and AI strategy, aligning technology investments with business priorities and measurable outcomes.
Partner with business stakeholders to identify challenges, improvement opportunities, and areas where data-driven solutions can create value.
Develop and maintain a prioritized roadmap for innovation, business intelligence, analytics, and AI initiatives.
Establish and lead enterprise data governance practices , including data ownership, stewardship, quality standards, security, privacy, and retention policies.
Own the enterprise data platform and data warehouse strategy, including data pipelines, integrations, and architecture that support trusted reporting and analytics.
Drive the analytics and business intelligence strategy, helping transition reporting environments toward reliable, self-service insights and a single source of truth.
Define and guide the organization’s AI strategy , including use case evaluation, governance, responsible implementation, and adoption.
Evaluate emerging technologies, automation platforms, and innovation opportunities, determining where they can provide meaningful business value.
Build and lead a small team focused on innovation and data initiatives while partnering with internal stakeholders and external vendors.
Preferred Experience of the Sr. Manager of Data, AI & Innovation :
Experience leading or managing initiatives related to data analytics, AI strategy, business intelligence, digital transformation, innovation , product management, or similar functions.
Experience building business cases, strategic roadmaps , and technology-driven business improvement programs.
Strong background in data analytics, business intelligence, data warehousing, data pipelines, and data modeling.
Experience implementing or managing data governance programs, including data quality, stewardship, and master data management.
Understanding of AI, predictive analytics, and intelligent automation concepts in a business environment.
Proven ability to work closely with business stakeholders, influence decisions , and drive cross-functional initiatives.
Leadership experience, including developing teams, managing priorities, and navigating ambiguity while building new processes and capabilities.
Strong business acumen, communication skills, curiosity, and a continuous improvement mindset.
Bonus Experience of the Sr. Manager of Data, AI & Innovation:
Experience in the Manufacturing industry, OT/IT or multi-site operations.
Knowledge of the Medallion architecture.
Experience building a data, analytics, or innovation function from the ground up.
Experience supporting both IT and operational/manufacturing data environments.
Degrees or certifications related to AI, predictive analytics, data/BI, data governance, etc.
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