Salary Range:$99,000 – $123,000 Salary range estimated by Zippia
Posted a day ago
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Description
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 Manager of Applied Analytics Decision Sciences supporting OnStar will manage analytics and data science engagements focused on the measurement and optimization of this functional area, with a focus on identifying strategic opportunities to utilize advanced analytics, controlled experiments, and data science to achieve corporate targets. You will work cross-functionally across EDAI, as well as our partners in Sales, Marketing, IT and other functions to accelerate the adoption of data-informed decision-making. Your team will enable an objective view to properly understand opportunities and business solutions that drive customer lifetime value, optimize consumer experiences, and increase brand loyalty.
As a leader with a technical background, you will be responsible for leading a team of hands-on practitioners to draw insights, create scalable data products and build statistical models to identify opportunities with high ROI. Our team is focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble as we scale our Software and Services division. Note that this role performs functions of program management but does not sit within a program management organization.
What You'll Do:
- Showing your contextual business knowledge and functional domain expertise in the retail SaaS space through your ability to use data, analytics, and insights to drive revenue and business performance
- Driving a strategic roadmap with executable outcomes to provide business value and impact.
- Using your strong stakeholder management skills, able to prioritize asks, and move requests from the point of curiosity and into realized data products, insights, and solutions.
- Using your knowledge of how to map data skills, techniques, and tools to problems.
- Working with a product owner and teammates to develop requirements definitions.
- Exhibiting the ability to tell a succinct, data-driven story and tailor delivery to a wide range of stakeholder levels.
- Leading and developing a team that can tackle diverse problems across the business, identifying strengths and weaknesses and allocating accordingly.
- Ensuring an elevated level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff.
- Communicate insights to upper management and other stakeholders and provide recommendations for program improvements.
Your Skills & Abilities (Required Qualifications):
- 5-8+ years of experience in analytics, data science, or quantitative insights in an enterprise setting.
- 2+ years of experience successfully leading technical teams or work
- Bachelor's degree in a related field, or equivalent work experience
- Expertise in the principles of experimental design and analysis
- Understanding of the principles of causality and/or modeling of incrementality
- Demonstrated history of leveraging hypothesis testing and experimentation to drive measurable program improvements, particularly in contact center, CRM and digital channels
- Prior experience with least one of the following methodologies: statistical modeling, machine learning, AI models, behavior-based segmentation, causal inference, multi-touch attribution, propensity modeling and targeting
- Exceptional at prioritizing and focusing on the highest value opportunities
- Familiarity with models and pitfalls of customer lifetime value, retention, and churn
- Ability to evaluate the big picture and solve business problems rather than focusing solely on metrics
- Strong drive for results and intellectual curiosity; must be a self-starter
- Ability to train, mentor, and evaluate the technical capabilities of others
- Prior experience evaluating and/or hiring high-performing talent
- Strong project management skills with demonstrated success
- Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality
- Excellent team player with strong interpersonal skills and highly collaborative work style
- Excellent oral, listening, presentation, and written communication skills
Additional 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
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Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful 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 encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
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General Motors is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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