Senior Level Data Project Manager Jobs
Senior level data project manager jobs call for professionals who set program direction, own outcomes end-to-end, and lead cross-functional teams through complex data initiatives. Openings are concentrated across on-site, remote, and hybrid settings in Consulting & Professional Services, Construction & Real Estate, and Manufacturing, with employers like Colliers Engineering & Design, HDR, and Suffolk Construction hiring at this level now.
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INTRODUCTION
Xcel Energy (NASDAQ: XEL) is a leading energy provider and Fortune 500 company, dedicated to serving millions of electricity and natural gas customers across eight states: Minnesota, Colorado, Wisconsin, Michigan, North Dakota, South Dakota, New Mexico and Texas. We make energy work better for our customers, helping them thrive every day. That means always raising the bar - delivering better service and providing more reliable, resilient, and sustainable energy.
Xcel Energy is a place where you’ll have opportunities to grow, expand your skills, and help lead the clean energy transition. We offer meaningful rewards, recognition, and support to help you build your career and make an impact - both on the job and beyond. Most importantly, it means you’ll be joining a company that knows employees are the driving force behind its success and is committed to helping you be your best.
Xcel Energy supports a hybrid work model to enable collaboration and flexibility. Many roles are expected to work onsite three days per week (Tuesday–Thursday); however, work location expectations vary based on role, team, and business needs.
Position Summary
Leads the Supply Chain Data Products & Analytics team serving the Supply Chain organization. The Manager owns the supply chain data product portfolio — governed, reusable analytical assets including inventory productivity and Economic Return on Inventory models, workforce capacity models, distribution network demand signals, and operational scorecards — that convert enterprise data into supply chain decisions with measurable financial outcomes.
The role builds domain analytics on the enterprise data platform under enterprise standards, is the named owner of the supply chain analytical data layer and leads the team's adoption of AI-enabled analytical capability, including the existing automation portfolio and natural-language analytics, under applicable governance and control standards.
ESSENTIAL RESPONSIBILITIES
Data Product Ownership:
- Owns the supply chain data product catalog: definition, prioritization, development, versioning, and retirement of governed analytical assets serving Supply Chain functions, Supply Chain leadership, and enterprise finance stakeholders.
- Directs closure of documented domain data engineering gaps in the enterprise lakehouse in partnership with the enterprise data platform organization.
- Establishes data contracts, refresh standards, and quality thresholds for all production data products.
S/4HANA Analytical Continuity:
- Serves as the accountable owner for the supply chain analytical data layer and maps every production report and data product to its post-conversion data source before cutover.
- Partners with the Business Integration function on system-of-record design decisions affecting downstream analytics; Business Integration owns system configuration and process design — this role owns the analytical consumption layer.
AI-Enabled Analytics & Workflow:
- Owns and evolves the team's automation and AI-assisted analytics portfolio, progressing from robotic process automation toward governed AI workflows within human-approved control boundaries and applicable enterprise standards.
- Maintains a value ledger attributing realized savings and productivity hours to each deployed capability; no autonomous AI action on financial controls.
Decision Support:
- Delivers executive decision support: MSS Leadership Scorecard, Monthly Operating Review analytics, blocked invoice control monitoring against the SOX threshold, and CFO-level financial models.
Team Leadership & Capability Build:
- Leads, develops, and performance-manages a team of 4–5 professionals; executes the team's skills progression toward analytics engineering, AI engineering, and data product management.
MINIMUM QUALIFICATIONS
- Bachelor's degree in a quantitative, engineering, information systems, or business discipline, or equivalent experience.
- Seven or more years of progressive experience in analytics, data engineering, business intelligence, or supply chain decision support, including two or more years leading people or cross-functional delivery.
- Demonstrated delivery of analytical products on a modern cloud data platform (Databricks, Snowflake, or equivalent) with SQL fluency and working knowledge of data modeling.
- Experience supporting enterprise resource planning data environments; SAP (ECC or S/4HANA) data structures strongly preferred.
PREFERRED QUALIFICATIONS
- Experience in utility, energy, or asset-intensive supply chain operations.
- Experience with data product management practices, semantic layer design, or federated operating models.
- Experience deploying RPA, LLM-based tooling, or AI-assisted workflow automation under enterprise governance, including human-in-the-loop control design.
- Power BI at an advanced level, including workspace administration and deployment pipelines.
Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.
OUR VALUES
Connected, Committed, Trustworthy, Safe
OUR EMPLOYEE COMMITMENTS
- Work that makes a difference
- A team you can count on
- Opportunities to grow
- Rewards that help you thrive
Xcel Energy provides job applicants reasonable accommodations for disabilities throughout the application process. If you are in need of an accommodation to complete the application process, now or at any time in the future, please complete the Applicant Accommodation Request Form.
Non-Bargaining
The anticipated starting base pay for this position is: $112,200.00 to $159,400.00 per year
This position is eligible for the following benefits: Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care Flexible Spending Account, Health Care Flexible Spending Account, Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA), Transportation Reimbursement Account, Short-term disability (STD), Long-term disability (LTD), Employee Assistance Program (EAP), Fitness Center Reimbursement (if enrolled in eligible health plan), Tuition reimbursement, Transit programs, Employee recognition program, Pension, 401(k) plan, Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO), Parental Leave
Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.
In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.
Deadline to Apply: 11/20/26
EEO is the Law (PDF) | Equal Opportunity Statement (PDF) | Employee Rights (PDF)
All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.
ACCESSIBILITY STATEMENT
Xcel Energy endeavors to make https://www.xcelenergy.com and https://jobs.xcelenergy.com accessible to any and all users. If you are in need of an accommodation to complete the application process, now or at any time in the future, please complete the Applicant Accommodation Request Form. For any other application related questions, including application follow-ups or technical issues, please use our Recruiting Assistance, Electra, for assistance. Electra can be found in the lower right-hand corner of our Xcel Energy Careers site.
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Top Industries Hiring
- Consulting & Professional Services11
- Construction & Real Estate9
- Manufacturing3
- Electronics & Hardware3
- Energy2
Senior Level Data Project Manager Jobs: Frequently Asked Questions
How do I get a senior level data project manager job?
Employers at this level want candidates who have led data programs from scoping through delivery, not just managed tasks. Demonstrating ownership of data pipelines, stakeholder alignment across departments, and experience guiding junior team members gives you a clear edge. Certifications like PMP, PMI-ACP, or cloud data platform credentials reinforce technical credibility alongside your leadership experience.
Which companies hire senior level data project managers?
Companies hiring senior level data project managers right now include Colliers Engineering & Design, HDR, and Suffolk Construction, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from large enterprises and growth-stage organizations running sophisticated data infrastructure that requires experienced oversight.
Are there remote senior level data project manager jobs?
Yes, though availability varies by employer and industry. About 43% of senior level data project manager openings are remote or hybrid as of November 2026, reflecting sustained demand for experienced professionals who can lead distributed data teams without being on-site full time.
What makes a data project manager role senior level?
Senior level roles are defined by scope, ownership, and influence. You are expected to drive program strategy, resolve ambiguity across stakeholders, and make architectural or process decisions with limited guidance. Mentoring junior project managers and contributing to hiring or team structure is common. The work moves from executing others' plans to setting direction yourself.
Which industries hire the most senior level data project managers?
Senior Level data project manager roles concentrate in Consulting & Professional Services, Construction & Real Estate, and Manufacturing, based on current listings on Migrate Mate as of November 2026. These sectors invest heavily in data modernization, compliance, and analytics infrastructure, which requires experienced project leadership to deliver at scale.