Program Manager, OnStar, Applied Analytics Decision Sciences

Job DescriptionThis 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 minimumThe 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 Job DescriptionCompensation : 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 FUTUREAbout GMOur 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 UsWe 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. 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