Manager - Data Integrity and Analytics

DTE Energy; Detroit (MI); Hybrid; USD 110,000 - 150,000; Full time

Job summary

DTE Energy is seeking a Senior Data Governance Leader to drive data quality, governance, and strategic analytics initiatives across the organization. You will guide a team of analytics professionals, partner with executives to define priorities, and ensure data-driven decision making that enhances operational efficiency.

You will lead end-to-end data projects, leverage Python and SQL, and help shape the company’s data architecture in a hybrid work environment at DTE Energy.

Qualifications

• Bachelor’s degree in business administration, data analytics, economics, information technology, engineering, or related field
• Seven years of experience in data management, engineering, operations, or information technology, inclusive of 5 years of leadership experience (formal or project)
• Knowledge of data science languages, such as Python, R, Java, PHP, SQL; familiarity with big data architectures and cloud-based data solutions

Responsibilities

• Define and implement data management strategy and data quality controls.
• Lead analytics projects and mentor staff across functional teams.
• Collaborate with senior leaders to prioritize BI initiatives with measurable value.
• Translate analytics strategies into actionable projects and manage end-to-end delivery.
• Oversee budgeting, staffing, and performance management for the data team.
• Drive continuous improvement and establish data governance standards.

Skills

Data governance

Leadership

SQL

Python

Data analytics

Big data

Communication

Education

Bachelor’s degree in business administration, data analytics, economics, information technology, engineering, or related field

Master’s degree in business administration, data analytics, economics, information technology, engineering, or related field

Tools

ETL tools

Power BI

Job description

DTE is one of the nation’s largest diversified energy companies. Our electric and gas companies have fueled our customer’s homes and Michigan’s progress for more than a century.And as Michigan’s largest source of renewable energy, we’re creating a cleaner, healthier environment to power our future. We’re also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.

But we’re more than a leading energy company... and working at DTE is more than just a job.At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities. When you join us, you’ll be part of a team that welcomes, recognizes, and celebrates differences and values everyone’s health, safety, and wellbeing. Are you ready to make that kind of difference? Bring your energy to DTE.Together, we can achieve great things.

Testing Required:

Hybrid Role: This role is hybrid, with an established schedule of in-person work required at an assigned work location. Any remote work is expected to be performed from an employee’s primary residence, unless allowed (or prohibited) through the Company’s remote work guidelines.

Emergency Response: Yes – Must be available to perform a primary assignment in support of DTE’s emergency response to storms or other events that impact service to our customers.

Job Summary

Leads a team responsible for managing initiatives and projects in data migration, master data management, data clean up, data governance and quality. Provides leadership and guidance to analytical professionals in providing data definitions, establishing expectations and ensuring compliance with project initiatives. Partners with business leaders to define performance measures, identify critical priorities, and develop optimal business plans. Span of control: Team of individual contributors.

Key Accountabilities

• Defines and establishes the overall management strategy and approach to data clean up, maintenance and quality control
• Drives analytics discipline by evaluating new technologies, experimenting with methodologies, improving techniques, and creating a learning culture within the organization
• Oversees integrity of data used for analysis of business operations and operational effectiveness
• Collaborates with senior leaders to identify key business intelligence projects with measurable value propositions to improve organizational performance, reduce costs, increase operational efficiencies and provide new business opportunities
• Translates business and analytics strategies into multiple short-term and long-term projects, and manages end-to-end execution
• Ensures the accomplishment of the following core supervisory/management functions for a given group(s) within a business unit: planning, organizing, directing the performance of on-going activities and/or special/ad hoc assignments, staffing (employee selections, training, coaching and performance management, time entry), coordinating, reporting and budgeting
• Leads the continuous improvement commitment and efforts for team, including designing processes, establishing quality and quantity standards and metrics, collecting, refining, adapting, and communicating best practices, sharing knowledge, and developing staff in a systematic fashion; uses process design outcomes to solve problems

Minimum Education & Experience Requirements

• Bachelor’s degree in business administration, data analytics, economics, information technology, engineering, or related field
• Seven years of experience in data management, engineering, operations, or information technology, inclusive of 5 years of leadership experience (formal or project)

Other Qualifications

Preferred:

• Master’s degree business administration, data analytics, economics, information technology, engineering, or related field
• Three years of experience with quantitative analysis, data queries, data visualization, statistical analysis, and predictive analytics

Other Requirements:

• Knowledge of data science languages, such as Python, R, Java, PHP, SQL
• Familiar with major subjects, technologies and solutions in predictive analytics
• Understanding of Big Data and cloud-based data architecture
• Strong experience leading analytical data projects across functional teams, including coaching and feedback of other team members on analytic approaches
• Excellent communication skills, including ability to interact with and influence decision‑making by non‑analytical business audiences
• Experience in workforce planning, team engagement, budget planning, contract negotiations, and vendor management
• Experience with data analysis, quality, cleaning and extraction / validation tools
• Knowledgeable in data profiling, root cause analysis, and quality improvement
• Ability to produce and communicate data insights that translate into significant business impact
• Well‑rounded individual with the ability to write code to query and transform both unstructured and structured data, including acting as a mentor to the team in these areas
• Ability to produce and communicate data insights that translate into significant business impact

Additional Information

Incumbents may engage in all or some combination of the activities and accountabilities and utilize a variety of the competencies cited in this description depending upon the organization and role to which they are assigned. This description is intended to describe the general nature and level of work performed by incumbents in this job. It is not intended as an all‑inclusive list of accountabilities or responsibilities, nor is it intended to limit the rights of supervisors or management representatives to assign, direct and control the work of employees under their supervision. #LI - TD1

At DTE Energy, we are committed to providing an inclusive workplace where everyone feels welcome and a sense of belonging. We seek individuals with a heart for service, a passion to help our communities prosper, and ideas to help shape the future of energy. We are proud to be an equal opportunity, employer that considers all qualified applicants without regard to race, color, sex, sexual orientation, gender identity, age, religion, disability, national origin, citizenship, height, weight, genetic information, marital status, pregnancy, protected veteran status or any other status protected by applicable federal and/or state laws.