Job Description
This role is based remotely but if you live within a 50-mile radius of Austin, TX or Warren, MI, you are expected to report to that location three times a week, at minimum
The Role:
The Program Mana ger, Data Engineering, Applied Analytics & Insights will lead accelerating and scaling data engineering using cloud-first technologies, establishing standards and processes to develop trustworthy and supportable data products that enable decision science and data science innovation, and growing team capabilities through continuous learning and development.
This is a global and experienced people leader position that requires a strong technical background and proven experience in people management, program management, and delivery .
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You will partner with the Applied Analytics & Insights Decision Science and Data Science Innovation Hub teams to deliver future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.
You and your team will power the Applied Analytics & Insights portfolio with scalable data products that serve several lines of business including Loyalty, OnStar, Digital Services & Experience, Marketing, GM Energy, and Growth Businesses.
In addition to collaboration within Applied Analytics & Insights, you will also collaborate cross functionally with enabling teams responsible for data governance and security, release management, operations, and infrastructure to develop a solid data engineering foundation.
As a leader with a strong technical background, you will lead a team of hands-on practitioners and be tasked with their growth and development through instruction, education, coaching and mentorship, and amplifying the value and impact that analytics can make across GM.
You have balance – you can strike the right chord of technical leadership and coaching, humbly elevating and advocating for their team – with an equilibrium of storytelling, showing influence and strategic focus for peers and leaders of supporting functions, enabling them to drive revenue growth.
This role reports to the Senior Manager of Analytics Engineering & Data Literacy, with leadership visibility to the greater Enterprise Data, Analytics, and Insights organization focused on democratizing data and decisions .
What You'll Do:
Lead and manage a team of Data Engineers, providing guidance, mentorship, and support to ensure successful project delivery and professional growth.
Collaborate with the Decision Science and Data Science Innovation Hub functions in a matrixed reporting structure to deliver on their portfolios.
Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale our engineering capabilities.
Develop and implement standards and processes to validate , monitor, and support data products that enable our decision science portfolio and data science capabilities.
Collaborate with cross-functional teams, including data governance, security, data architecture, release management, Dev & ML Ops, and infrastructure, to ensure seamless integration and alignment of data engineering initiatives.
Stay up-to-date with emerging trends and technologies in the field of Data Engineering, and proactively identify opportunities for improvement and innovation within our organization.
Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community.
Your Skills & Abilities (Required Qualifications):
7+ years of hands-on experience developing and implementing enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data pipelines and reporting.
Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field . Master's degree is a plus.
Proven experience managing and leading a team of Data Engineers, with a track record of successful project delivery and team development.
In-depth knowledge of industry-standard Data Engineering technologies, including ETL/ELT frameworks, data pipelines, data warehousing, and data integration.
Strong programming skills in data and analytics languages, big data processing frameworks, and development tools including Python, SQL, Scala, Spark, Data bricks, Visual Studio Code, etc.
Familiarity with data governance and security principles, data architecture, release management, Dev & ML Ops, and infrastructure.
Strong problem-solving and analytical skills, with the ability to design and implement scalable and efficient data solutions.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
Additional Job Description
Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
The salary range for this role is $116,100 - $181,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
Benefits:
Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Benefits Overview
The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others:
Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents;
Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family;
Company and matching contributions to 401K savings plan to help you save for retirement;
Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values;
Tuition assistance and student loan refinancing;
Discount on GM vehicles for you, your family and friends.
Diversity Information
General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers.
We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer.
We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities.
Equal Employment Opportunity Statements
GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals.
As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an indivi d ual's protected characteristics. For purposes of this policy, “protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at
Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.