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Data Modernization Jobs in Michigan (NOW HIRING)

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Manager, Data Engineering

Detroit, MI · On-site

$160K - $190K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

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Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Reply

Manager, Data Engineering

Detroit, MI

$160K - $190K/yr

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital ...

Deloitte

Manager, SAP Data Conversion/BODS

Lansing, MI · On-site

Leading functional delivery for SAP S/4HANA modernization programs, owning workstream execution ... Partnering with integration and data teams to plan interfaces, validate data migration readiness ...

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Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and strategic planning, along with strong industry reputation and sometimes equity compensation.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics practices to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
What are popular job titles related to Data Modernization jobs in Michigan? For Data Modernization jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Michigan look for? The top searched job categories for Data Modernization jobs in Michigan are:
Data Modernization jobs near you
Executive Director, Finance Process & Systems

Executive Director, Finance Process & Systems

Tenneco

Northville, MI • On-site

Full-time

Posted 6 hours ago

Tenneco rating

7.0

Company rating: 7.0 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

289th of 417 rated machine equipment manufacturers

Job description

At Tenneco, we don't follow industry standards; we set them, and we don't settle for being best-in-class because we hustle to be better than best-in-class. Whether it's our Core Values - radical candor, simplify, organizational velocity, tenacious execution and win - or our Get Stuff Done (GSD) mindset, we're determined to become the most trusted partner and best manufacturer and distributor to the transportation industry.
With a product portfolio as expansive as it is innovative, an obsessive commitment to quality and excellence, and a global presence, we're all about getting stuff done, so we can win.
How do we make it happen? Through the Tenneco Way. Fueled by our Core Values, a winning mindset and a relentless commitment to excellence, the Tenneco Way is how we win. It's what keeps Team Tenneco bold, driven, and unapologetically focused on pushing past limits and redefining success.
Here, you'll work alongside a team of relentless problem-solvers who are committed to making a tangible impact. If you're ready to break boundaries, deliver results, and enjoy the ride along the way, you'll thrive here.
Want to learn more about who we are? Check out our website to discover the Tenneco Way
We are seeking a Finance-Technology leader with strong finance process expertise and know-how on AI adoption in Finance to modernize finance operations, enable advanced analytics, and embed AI into Finance and Procurement processes. This role connects Finance and IT to streamline data flows, reporting, and insights across ERP, consolidation, and analytics platforms. The ideal candidate will:
(1) drive AI experimentation and scale adoption of AI capabilities across Finance and the broader enterprise
(2) lead finance technology support for M&A due diligence and post-close integration, and
(3) develop and own the target-state architecture and maturity roadmap for finance systems at a large public company-charting an optimal path from current-state capabilities to a scalable, governed, and standardized future state.
Key Responsibilities:
Finance Process Optimization
  • Partner with Controllership, FP&A, and Treasury to assess and improve end-to-end finance processes.
  • Identify opportunities within SAP (and related systems) to automate, standardize, and streamline processes, reducing manual effort and close cycle times.
  • Management consulting approach to end-to-end process design, controls embedment
  • Ideally have understanding of SAP or ERP charts of Accounts and ability to build approaches to integrate data from multiple ERP's, facilitate M&A activity
  • Ensure process designs meet management reporting needs.
  • Provide thought leadership on best practices in finance operating models, embedding governance and compliance.

M&A Due Diligence & Integration
  • Lead finance technology due diligence workstreams for M&A transactions, including current-state process and systems assessment, data quality review, and identification of key risks and dependencies.
  • Partner with Corporate Development, Legal, Tax, Treasury, Controllership, FP&A, IT, and external advisors to define diligence scope, timelines, and deliverables; synthesize findings into executive-ready readouts.
  • Evaluate target ERP/EPM/reporting landscapes and quantify effort/cost to integrate, migrate, or operate in a transitional state.
  • Develop Day 1 / Day 100 finance systems readiness plans, including close/reporting continuity, data integration approach, security/access considerations, and controls alignment.
  • Own post-close finance systems integration roadmap and drive execution in coordination with the finance transformation and enterprise architecture teams.

Data Modernization & Architecture
  • Partner with IT and enterprise data teams to optimize data pipelines into the data warehouse/lake (AWS, Azure).
  • Drive AI experimentation in Finance (e.g., close automation, variance explanation, forecasting, cash application, controls testing) by identifying high-value use cases, standing up pilots, measuring impact, and scaling successful solutions into standard operating processes.
  • Lead adoption of AI across the company by establishing an intake and prioritization model, partnering with business and IT product teams, defining governance (risk, controls, model stewardship), and driving change management, training, and value realization.
  • Develop and own the finance systems architecture for a large public company (ERP, EPM/consolidation, planning, reporting/BI, integration, and data platforms), including target-state design principles, standards, and reference architectures.
  • Create and maintain a multi-year maturity roadmap from current state to target state, including sequencing, dependencies, investment cases, and measurable outcomes (cycle-time reduction, automation rate, control effectiveness, and data quality).
  • Define and enforce data governance and stewardship frameworks for finance, ensuring high-quality, standardized data across ERP, consolidation, and reporting layers.
  • Enable integration between SAP, OneStream, and analytics tools to provide a single source of truth.

Analytics & Reporting Enablement
  • Lead the design and delivery of Power BI dashboards and analytics solutions for Finance leadership and business partners.
  • Design and implement KPIs and reporting frameworks that improve financial transparency across business units.
  • Enable self-service analytics while ensuring robust governance, accuracy, and control.
  • Build frameworks for predictive and scenario-based reporting to support decision-making in liquidity and financial planning.

Qualifications & Experience
  • Bachelor's in Finance, Accounting, or Information Systems; MBA/CPA preferred
  • 20+ years of experience in Finance Transformation, ERP Finance Process Optimization, or Finance Systems leadership.
  • Experience with management consulting Finance Transformation positions -e.g. Big 4 Consulting companies
  • Strong knowledge of core finance processes (R2R, P2P, O2C, FP&A, Treasury).
  • Proven experience with ERP systems and consolidation platforms
  • Experience with ideation and adoption of AI solutions in Finance processes - must demonstrate understanding of AI tool capabilities, and hands-on approach to leading enterprise-wide adoption
  • Knowledge of data visualization tools like Power BI or similar tools for reporting and analytics is preferred.
  • Familiarity with data governance, stewardship, and master data frameworks.
  • Exposure to data lake/warehouse environments (AWS).
  • Experience leading AI/advanced analytics initiatives from prototype to production, including adoption planning, governance, and change management.
  • Experience supporting M&A transactions, including finance systems due diligence, integration planning, and post-close execution (ERP/EPM/data/reporting).
  • Demonstrated ability to define target-state architecture and deliver a staged maturity roadmap for finance systems in a complex, regulated/public-company environment.
  • Excellent stakeholder management and ability to partner with senior Finance leaders to drive adoption of process and technology changes.

Core Competencies
  • Finance Process Design & Optimization
  • ERP Enablement & Modernization
  • Finance AI Experimentation, Productization & Enterprise Adoption
  • EPM/Consolidation Understanding
  • M&A Finance Systems Due Diligence & Integration
  • Finance Systems Architecture & Maturity Roadmap Development
  • Data Governance & Stewardship
  • Analytics & Power BI Reporting
  • Business Process Re-engineering
  • Change Leadership & Cross-Functional Collaboration

Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities

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