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Manager - Data Science

Location: 

Detroit, MI, US

Company:  DTE Eng Corp Svcs LLC
Job ID:  3523

The future is bright at DTE Energy! We are one of the largest Fortune 500 diversified utilities in the United States with an aspiration to be the best-operated energy company in North America and a force for good in the communities we live and serve.  We have businesses in 26 different states and are comprised of regulated utility and non-utility businesses.  Our utility business provides electric and gas service to approximately 3 million customers.  Our non-utility businesses include a diversified portfolio of energy related companies, ranging from gas storage and pipelines to renewable power development.
 

DTE Energy’s utility and non-utility businesses are poised for significant growth. We look forward to working with highly motivated and team-oriented individuals to energize our efforts of growing economically and environmentally.
 

Recently, DTE Energy has been recognized as an outstanding place to work and has received the following accolades:

* Gallup Great Workplace Award for consecutive years
* Civic 50 Award for corporate citizenship excellence
* Indeed’s annual “50 Best Places to Work” award for two years running
* Metropolitan Detroit’s 101 Best and Brightest Companies to work For
* J.D. Power Customer Satisfaction Award
* Professional Women’s Magazine/Black EOE Journal “Best of the Best”
* Computerworld’s 100 Best Places to Work in IT
* Best Employers for a Healthy Lifestyle Gold Award
* Detroit Free Press Green Leaders Award

DTE Energy is an equal opportunity employer and 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 law.

 

External Pre-Hire Assessment Required: Leader Pre-Hire Assessment
Testing Required:
Not Applicable

 

 

Job Summary

Leads an agile team responsible for building collaborative and positive working relationships with stakeholders to develop analytics strategies, identify effective performance metrics, and evaluate and recommend Business Intelligence (BI) technologies and applications. Provides leadership and guidance to analytical professionals on developing and implementing BI, Artificial Intelligence (AI) and Machine Learning (ML) projects.  Advises senior leadership and enterprise stakeholders with recommendations based on sound analyses and data-driven insights.

Key Accountabilities
  • Leads and develops a team of analysts and data scientists to apply Data Science methods, including AI and ML tools to identify business opportunities, predict performance outcomes and provide tactical and strategic recommendations in a timely and accurate way
  • Partners with and influences business leaders to define effective performance measures, identify critical priorities, and develop optimal business plans
  • Translates business and analytics strategies into multiple short-term and long-term projects, and manages the end-to-end execution
  • Supports scientific, measurable, fact-driven approaches by adding statistical rigor to business recommendations
  • Drives analytics discipline by evaluating new technologies, experimenting with methodologies, improving techniques, and creating a learning culture within the organization
  • Partners with Information Technology Services (ITS) to develop a data and analytics roadmap, including data acquisition, data integration, data quality, and data visualization to deliver scalable solutions
  • Plays a key role in defining and implementing a sound data governance program, including roles and responsibilities, standards, policies and procedures that ensure the quality, consistency, usability, and availability of data across the organization
  • Ensures the accomplishment of the following core supervisory and management functions for assigned group(s) within a business unit: Planning, organizing, directing the performance of on-going activities and/or special/ad hoc assignments, staffing (e.g., employee selections, training, coaching and performance management, time entry), coordination, reporting and budgeting
  • Leads the Continuous Improvement commitment and efforts for the team, including designing processes, establishing quality and quantity standards and metrics, collecting and refining data, adapting to changing business priorities, communicating and sharing knowledge and best practices, and developing staff in a systematic fashion; enhances process designs to solve and prevent problems
Minimum Education & Experience Requirements

This is a dual-track base requirement job; education and experience requirements can be satisfied through one of the following two options:

 

  • Bachelor’s degree in quantitative field (e.g., Statistics, Computer Science, Information System, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and Econometrics, etc.) or Business Administration, and 10 years of experience working in a data analytical function, computer programming, engineering, inclusive of 3 years leading teams and/or in a supervisory role in relevant functions, such as data analysis, reporting, and predictive analytics; or
  • Master’s degree in quantitative field (e.g., Statistics, Computer Science, Information System, Engineering, Mathematics, Physics, Data Science, Industrial/Organizational Psychology and Econometrics, etc.) or Business Administration, and 8 years of experience working in a data analytical function, computer programming, engineering, inclusive of 2 years leading teams and/or in a supervisory role in relevant functions, such as data analysis, reporting, and predictive analytics
Other Qualifications

Preferred:

  • 10 or more years of experience in quantitative analysis, query design, 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 and ability to advise on the appropriate analytical approach
  • 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
  • Experience with SAP Business Intelligence tools and SAP CRM, ISU and BW data
  • Intermediate-level or higher Continuous Improvement knowledge, skills, and certifications
  • 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
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.


Nearest Major Market: Detroit