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Technical Data Manager Jobs in Michigan (NOW HIRING)

Technical Writer Program Summary KBR's Defense & Technology Solutions (DTS) business unit combines ... Manage document lifecycle, version control, and timely delivery of contract data requirements ...

... managers, subject matter experts (SMEs), and government representatives to gather and validate technical data. • Translate complex engineering and system information into clear, concise, and user ...

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Develop and maintain technical documentation including Product Specifications, Technical Data ... Qualify and manage relationships with ingredient suppliers; resolve technical and quality issues

Organize, manage, maintain, distribute and archive technical data associated with ongoing projects. * Utilize enterprise systems including SharePoint, Outlook, Windchill, ERP systems, and engineering ...

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Technical Data Manager information

What is the difference between Technical Data Manager vs Data Analyst?

AspectTechnical Data ManagerData Analyst
Required CredentialsBachelor's degree in IT, Data Management, or related field; certifications like DAMA or CDMPBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, enterprise systemsBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in industries with large data assets like finance, healthcare, manufacturingCommon across industries for data interpretation and reporting

The Technical Data Manager focuses on overseeing data quality, governance, and infrastructure, ensuring data is accurate and accessible. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. While both roles work with data, their responsibilities and skill sets differ significantly.

How much does a technical data manager get paid?

The average salary for a technical data manager typically ranges from $80,000 to $130,000 annually, depending on experience, industry, and location. Professionals in this role often require strong data management skills and familiarity with tools like SQL and data warehousing systems.

What are the key skills and qualifications needed to thrive as a technical data manager?

To thrive as a Technical Data Manager, you need expertise in data management, database administration, and data governance, typically supported by a degree in computer science, information systems, or a related field. Familiarity with tools such as SQL, ETL platforms, data warehousing solutions, and certifications like CDMP or cloud data certifications are commonly required. Strong leadership, problem-solving, and communication skills set top candidates apart in managing teams and collaborating across departments. These skills ensure effective data integrity, security, and accessibility, which are vital for supporting business intelligence and strategic decision-making.

What is a technical data manager?

A Technical Data Manager is responsible for overseeing the collection, storage, management, and analysis of data within an organization, ensuring data integrity and security. They develop data management strategies, implement data governance policies, and coordinate with IT and business teams to support data-driven decision-making. Technical Data Managers also supervise data teams, maintain data quality, and ensure compliance with relevant regulations. Their role is critical in organizations that rely on accurate and accessible data for operational and strategic purposes.

What are some common challenges faced by technical data managers, and how can applicants prepare for them?

Technical Data Managers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and balancing the needs of various stakeholders. Applicants can prepare by developing strong project management skills, staying current with data governance best practices, and gaining experience with modern data platforms. Effective collaboration with IT, analytics, and business teams is essential, so strong communication skills are also crucial for success in this role.

What cities in Michigan are hiring for Technical Data Manager jobs?

Cities in Michigan with the most Technical Data Manager job openings:

Infographic showing various Technical Data Manager job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Managed Services - Data, Analytics & AI - Manager

Pwc

Grand Rapids, MI • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Managed Services team, you will lead the end-to-end delivery of AI and machine learning services, driving innovation and operational excellence. As a Manager, you will motivate and inspire your team, oversee quality deliverables while fostering meaningful client relationships and navigating complex challenges. This role offers a unique chance to shape the future of AI solutions, collaborate with diverse teams, and enhance your leadership skills in a dynamic environment.
Responsibilities
- Oversee the thorough delivery of AI and machine learning projects
- Inspire and motivate team members to achieve excellence in their work
- Cultivate substantial relationships with clients to understand their needs
- Navigate and resolve complex challenges in project execution
- Collaborate with cross-functional teams to drive innovation
- Confirm quality outputs that meet client expectations
- Utilize data-driven insights to enhance service delivery
- Foster a culture of continuous improvement and learning within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience
What Sets You Apart
- Demonstrating leadership in AI/ML service delivery
- Managing end-to-end AI/ML service operations
- Leading client discussions on AI pipeline operationalization
- Implementing monitoring for AI models in production
- Guiding junior team members in AI systems
- Collaborating with architects and engineers for compliance
- Driving development of reusable AI components
- Leading Data & Analytics project delivery
- Demonstrating experience with ITIL processes

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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