Manager - Data , Analytics, & AI

Ally and Your Career Ally Financial only succeeds when its people do - and that’s more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You’re constantly evolving, so shouldn’t your opportunities be, too? Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need. The Opportunity This role is on a hybrid schedule in our Detroit or Charlotte office a few days each week and some remote days. We are seeking an experienced Manager of Data, Analytics, and AI to join our dynamic team supporting HR. This role will lead the development of modern HR analytics and AI‑driven workforce intelligence solutions. The ideal candidate will focus on building AI‑powered analytical applications, intelligent HR agents, and scalable workforce data models that transform HR data into actionable insights. This position will drive development of analytics and AI capabilities using Enterprise HR systems such as Workday and enterprise data platforms such as Snowflake, leveraging Snowflake Cortex to enable generative AI, natural language data exploration, and intelligent analytics. The ideal candidate will have a strong background in data and analytics utilizing Python programming and automation, with deep hands‑on experience in SQL and Snowflake. You will play a key role in translating HR specific requirements into robust technical solutions, building automation, and developing AI‑driven applications and agents to drive innovation and efficiency across our organization. The Work Itself Translate HR requirements into scalable AI solutions by developing AI‑powered analytical applications to provide insights into hiring, retention, workforce productivity, and organizational planning. Lead development of AI agents that can query HR data from the enterprise data platforms to generate valuable insights. Create a governed semantic layer with Snowflake Cortex (business metrics/dimensions/definitions) to standardize HR/Finance KPIs. Use Snowflake Cortex to operationalize AI/GenAI (documentation generation, log summarization, anomaly narratives, assisted SQL/model development) with human review. Design and develop automation workflows using Python and Snowflake features for HR analytics and AI. Build, deploy, and optimize AI agents. Integrate AI models into existing platforms and workflows. Collaborate and communicate effectively with cross‑functional teams. Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment. Minimum Qualifications 7 years relevant experience of equivalent combination of education and experience. High School Diploma or GED Equivalent. Preferred Qualifications Bachelor’s or master’s degree in business, Data Analytics, Engineering, or a related field. 5+ years of professional experience in machine learning and data science with demonstrated impact in applied, real‑world systems. Extensive hands‑on experience with Snowflake, including Snowflake Cortex AI ecosystem. Lead experimentation initiatives, leveraging A/B testing, and novel AI approaches to continuously improve model performance and business outcomes. Strong coding skills in SQL and Python, with experience building maintainable, production‑grade ML/AI systems and proven experience in automation. Experience with analytical engineering tools such as dbt. Experience working in cloud data and ML platforms such as AWS, Snowflake, SageMaker, or equivalent environments. Experience influencing technical direction beyond individual projects, including setting best practices, mentoring others, and driving alignment across teams. Ability to proactively identify risks and gaps in AI systems (e.g., reliability, bias, safety, explainability, monitoring) and drive pragmatic solutions on a scale. Proven ability to work with multiple partners and drive consensus on technical direction, standards, and trade‑offs across diverse stakeholders. Strong problem‑solving skills and attention to detail. Strong analytical, communication (written and oral), and interpersonal skills. Ability to prioritize workload and balance multiple initiatives and efforts. Ability to respond quickly to a changing environment. How We’ll Have Your Back Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part‑time status and management level). Planning for the Future: plan for the near and long term with an industry‑leading 401K retirement savings plan with matching and company contributions, student loan pay‑downs and 529 educational save‑up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access. Supporting your Health & Well‑being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short‑ and long‑term disability, pre‑tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well‑being program that helps you and your family stay on track physically, socially, emotionally, and financially. Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back‑up child and adult/elder care days and childcare discounts. Work‑Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers programme and other employee discount programmes. Other compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity. To view more detailed information about Ally’s Total Rewards, please visit this link: Compensation Base Pay Range: $110,000 - $180,000 USD. An individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer. Incentive Compensation: This position is eligible to participate in our annual incentive plan. Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law. We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at View email address on click.appcast.io. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation. #J-18808-Ljbffr Ally