Program Manager, OnStar, Applied Analytics Decision Sciences

3 weeks ago

Austin, United States General Motors Full time

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

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