Data and AI Manager Jobs
Data and AI Manager jobs are open across technology, financial services, healthcare, and retail, at every level from mid-level manager to director, with specializations in machine learning operations, data platform management, and AI strategy. See the openings below and apply to the ones that match your experience.
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We are seeking a highly skilled and motivated Technical Product Manager - Data & AI Platforms to join our dynamic team. The ideal candidate will have a strong background in product management of data products and platforms, with a proven track record of successfully delivering data-driven products, APIs, and AI/ML enablement capabilities from conception to launch. As a Technical Product Manager, you will be responsible for defining product vision, strategy, and roadmap for data acquisition, labeling, annotation, governance, and quality initiatives, ensuring alignment with business goals and customer needs. You will collaborate closely with cross-functional teams, including engineering, data science, AI/ML, design, marketing, and business stakeholders to deliver high-quality data products and pipelines that power advanced analytics and machine learning solutions.
This role requires 4 - 5 days in client office, located in Dallas, TX.
We are seeking a highly skilled and motivated Technical Product Manager - Data & AI Platforms to join our dynamic team. The ideal candidate will have a strong background in product management of data products and platforms, with a proven track record of successfully delivering data-driven products, APIs, and AI/ML enablement capabilities from conception to launch. As a Technical Product Manager, you will be responsible for defining product vision, strategy, and roadmap for data acquisition, labeling, annotation, governance, and quality initiatives, ensuring alignment with business goals and customer needs. You will collaborate closely with cross-functional teams, including engineering, data science, AI/ML, design, marketing, and business stakeholders to deliver high-quality data products and pipelines that power advanced analytics and machine learning solutions.
This role requires 4 - 5 days in client office, located in Dallas, TX.
Data and AI Manager Jobs by Experience Level
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Find Data and AI Manager JobsData and AI Manager Job Market
Who's Hiring
- Booz Allen Hamilton24
- Deloitte23
- JPMorganChase19
- EY12
- Johns Hopkins University Applied Physics Laboratory9
Top Industries Hiring
- Technology & Software11
- Education9
- Banking & Financial Services5
- Healthcare & Medical Services5
- Insurance3
What Employers Look For
The qualifications that appear most often in data and AI manager jobs.
- 5 or more years of experience in data engineering, analytics, or machine learning roles
- Proficiency in Python and SQL for data pipeline development and analysis
- Experience managing cross-functional teams of data engineers, analysts, or ML engineers
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with MLOps frameworks, model deployment pipelines, and monitoring tools
- Bachelor's or master's degree in computer science, data science, or a related technical field
Tips for Your Data and AI Manager Job Search
Quantify AI outcomes on your resume
Hiring panels for data and ai manager roles want to see impact, not just ownership. Replace tool lists with results: model accuracy improvements, pipeline cost reductions, or time-to-insight gains your team delivered. Numbers make your resume scannable and credible.
Align your resume to the stack
Data and ai manager postings often list preferred platforms like cloud data warehouses, MLOps tooling, or BI layers. Mirror the exact tool names from each job description in your resume so your application clears automated screening before a recruiter reads it.
Target roles by AI maturity stage
Some companies are building their first data team while others are scaling a mature AI org. Knowing which stage a company is in helps you pitch the right skills. Look for signals in the job description: headcount, existing stack references, and whether the role mentions building versus optimizing.
Apply early to roles that fit
Migrate Mate lists data and ai manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a team leadership narrative
Interviewers for data and ai manager positions consistently probe how you hire, develop, and retain technical talent. Prepare two or three concrete stories about managing data engineers or ML engineers through ambiguity, underperformance, or rapid growth before your first interview.
Negotiate scope alongside compensation
When you receive an offer, clarify reporting structure, headcount authority, and budget ownership before you accept. Data and ai manager titles vary widely in actual decision-making power, and negotiating scope upfront protects you from stepping into a role with a manager title but an individual contributor workload.
Data and AI Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data and ai managers?
The most active employers for data and ai managers right now are Booz Allen Hamilton, Deloitte, and JPMorganChase, and the most openings are in California, Virginia, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is especially high at companies expanding their cloud infrastructure or launching new AI product lines.
How many data and ai manager jobs are remote?
About 67% of data and ai manager openings are fully remote or hybrid as of November 2026, reflecting the technical and collaborative nature of the role. Sub-areas tied to platform engineering and ML model oversight tend to have the highest share of remote-eligible postings, while roles requiring close partnership with business units more often require on-site presence.
How do you become a data and ai manager?
Most data and ai managers move up from individual contributor roles in data engineering, analytics, or machine learning. Building technical depth first is essential, followed by taking on project or team lead responsibilities that demonstrate people management ability. Strengthening your understanding of AI product strategy and business outcomes alongside your technical background makes the transition to a management title significantly more credible to hiring panels.
How do you get hired as a data and ai manager with little experience?
Moving into a data and ai manager role without prior management experience is possible if you can show cross-functional influence rather than just individual output. Document instances where you led a project, mentored junior teammates, or drove a technical decision that affected the broader team. Applying for lead or team lead titles first, rather than jumping straight to manager, is a practical path that many hiring managers respect.
What does the data and ai manager interview process look like?
The process typically starts with a recruiter screen focused on your background and team size experience, followed by a technical panel that tests your command of data architecture and AI concepts. A behavioral round assesses how you manage stakeholders, resolve team conflict, and prioritize competing projects. Many companies close with a case study or take-home scenario where you outline a data or AI strategy for a realistic business problem.
Where can I find and apply to data and ai manager jobs?
You can find and apply to data and ai manager jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that fit your specialization and experience level, then apply directly to each listing that matches what you are looking for.
See All 551+ Data and AI Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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