Description
The Role
The Data Science Manager in Marketing Applied Sciences, Measurement Science, will lead a talented team of data scientists who will drive solution design, development, and deployment of statistical and AI/ML models to solve for marketing optimization. The ideal candidate will be an expert in media mix modeling with experience in other data science, statistical modeling, and machine learning projects. They will also bring in proven leadership skills to inspire innovation and excellence across the team. In addition to being able to coach and mentor the team, this role also requires the candidate to have good business acumen, business consulting skills, strategic thinking, and planning skills.
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As a leader with a strong technical background, you will lead a team of hands-on data science practitioners who are focused on scaling data science work and accelerating time-to-delivery in insights related to marketing budget allocation and near real-time media optimization.
You have balance - you can strike the right chord of technical mastery, leadership and coaching, humbly elevating and advocating for your team - with an equilibrium of storytelling, showing influence and strategic focus for peers and leaders of supporting functions, enabling them to drive revenue growth and efficiency. Our team is focused on delivering future-focused, consumer-centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs.
LEVEL EXPECTATIONS:
- A leader of a team with members who possess diverse skill sets and have similar overall objectives. Typically leads other individual contributors and at times leads other people leaders.
EXPERTISE
- Has advanced knowledge and broad experience in the areas led, with the ability to identify and leverage experts in different specialized fields.
- Often owns a distinct business area within the function. Serves as a resource to their team for technical expertise, interaction with other teams and departments, and company policies and processes. Guides direct reports and their teams on scoping out complex problems and developing creative and innovative solutions to the issues.
- Drives change and develops new policies and processes in support of functional and company strategies.
- Exercises independent judgement and influence on key technical decisions within their area(s). Develops operational plans and establishes objectives for the team, allocates resources and delegates assignments.
COMPLEXITY
- Translates strategies into clear direction for their team. Reprioritizing and reallocating resources as appropriate based on changing business needs. Offers direction to subordinates in accordance with established company policies.
- Enforces company policies that directly impact subordinate employees. Resolves competing demands, sensitive situations, and conflicts within their organization and/or with other teams.
- Develops plans for people resources and ensures that team members are continuing to grow their skills and competencies. Has continued career discussions with their team and knows where to allocate resources based on unique strengths of everyone on the team.
- Regularly engages with subordinate supervisors, customers, and/or professionals in the same functional peer group to address issues spanning multiple sections and units. Demonstrates effective communication skills in conveying results and recommendations across different disciplines.
- Expertly adapts communication style and uses persuasion and occasionally negotiation to convince others to accept new ideas, approaches, concepts, or practices. Deals with the situations where differing opinions, past practices or experiences may significantly constrain agreement.
SCOPE AND IMPACT
- Drives strategy and implementation of large projects impacting multiple departments.
- Is accountable for workforce planning, operational and often financial decisions in the area managed.
- Sets objectives and owns the delivery of metrics and Key Performance Indicators that have direct impact on the achievement of the results in the job area, have measurable contribution into functional results and align with the GM strategic priorities.
- Champions change management and role models GM's behaviors necessary to maintain a productive team without inhibiting individuality and personal diversity. Influences others within and/or outside the organization that are skeptical or unwilling to accept new concepts, practices, and approaches.
- Builds a team with the optimal mix of talent and experience. Makes internal and external staffing decisions, supports, and guides individual development of direct reports and their teams, drives performance.
What You'll Do
- Lead and manage a team of data scientists, providing guidance, coaching, and mentorship to ensure successful project delivery and professional growth
- Develop scalable marketing measurement solutions that speed time-to-delivery and have significant business value for our Marketing team
- Develop and oversee the execution of media mix models and marketing attribution from ideation to deployment, ensuring they meet quality, scope, and timeline objectives
- Collaborate across the Marketing Applied Sciences team, along with business stakeholders, to identify, frame, develop, and execute high-impact analytics projects successfully
- Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team
- Foster a culture of collaboration, experimentation, continuous learning, and knowledge sharing within the data science team and broader community
- Manage and allocate team resources effectively to support project needs and team growth
Additional Description
Your Skills & Abilities (Required Qualifications)
- 7+ years of experience in Data Science in a corporate setting
- 2+ years of experience in leading teams that built media mix modeling and marketing measurement work
- Master's Degree or Ph.D. in Data Science, Statistics, Computer Science, Analytics, Operations Research, Engineering, Economics, Applied Mathematics, Marketing, Physics, or other quantitative field
- Strong expertise in statistical modeling, machine learning and/or deep learning techniques, including one or more of the following analytical methodologies: media mix modeling, marketing incrementality measurement, propensity models, pricing, forecasting
- Proficiency in data science programming languages such as Python or R and MMM packages such as robyn, pymc-marketing, lightweightmmm or meridian
- Prior experience with Cloud platforms such as Databricks /Azure or AWS
- Experience with data visualization tools and techniques
- Proven track record of managing data science projects from concept to implementation, delivering impactful business outcomes
- Excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
- Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
- Demonstrated ability to lead, mentor, develop, and evaluate high-performing talent
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin, TX or Warren, MI three times per week, at minimum [or other frequency dictated by the business if more than 3 days].
A company vehicle will be provided for this role with successful completion of a Motor Vehicle Report review.
Compensation:
- The expected base compensation for this role is: $160,200 - $258,700. Actual base compensation within the identified 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 : 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.
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Diversity Information
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