Salary: USD $101,000 - $165,000 / Year
Your opportunity
At Schwab, you're empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together.
As a division of the Schwab Data and Analytics organization, Schwab Data Science department is leading the way to help drive business decisions and maximize competitive edge through data and analytics. Our group's vision is to infuse a data-driven culture across all of Schwab so that our data will be trusted and integrated, and we can all make better business decisions and improve client experience. Increasingly, data permeates all our work, and we are dedicated to fostering a company-wide data driven culture that will facilitate data driven insights. We focus on creating innovative AI-ML/Data Science solutions and actively maintains a broad portfolio of AI-ML/Data Science model-products that supports many Schwab businesses.
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Schwab Data Science team is organized across multiple data science teams that deliver AI-ML and advance data science solutions for various Schwab enterprises. These include advanced Natural Language Understanding and GenAI solutions, product propensity and customer relationship management models, marketing mix optimization, journey analytics, models for process efficiency & optimization, and many others. An important function that supports this mission of delivering AI-ML and advance data science solutions is Data Science Product Management (DSPM).
DSPM within Schwab Data Science supports the different data science teams through the full model development life-cycle (MDLC), and serves as the bridge between data science teams and business partners and Data Science Engineering (DSE) partners through the Machine Learning Operations (MLOps) cycle. This end-to-end support ranges from maintaining AI-ML road-maps for businesses, managing the centralized intake of POC's from the businesses, working with the DSE partners to productionize successful POC's, prioritizing the DSE backlog of new model products/capabilities and maintaining existing model products, and ensuring standardization and completeness of products requirements documentation. The product management team also coordinates the implementation of best practices across the MLOPS cycle.
What you'll do:
- Serve as the product manager partnering with both businesses as well as DSE to drive efficiencies across the MDLC and MLOPS life cycle. Establish and drive adoption of best practices across the MDLC and MLOPS life cycles.
- Maintain and prioritize the engineering roadmaps for Schwab Data Science - which is a complex mix of new platform capabilities, new data science models, as well as maintenance and upgrade of existing data science model products.
- Drive product ownership of Schwab Data Science Deployment Platforms (Dataiku, Vertex AI, etc.) - this includes prioritizing platform capabilities and charting its evolution.
- Develop documentation that supports MLOPS - translating requirements to drive production of data science model products. Drive documentation standards for moving data science products from development to production.
- Drive product vision and strategy bringing AI-ML/Data science capabilities to life within Schwab products.
- Build relationships with key business partners across the firm to understand their priorities and build product roadmaps to support.
- Collaborate with cross functional organizations across business and technology to drive alignment and execution to the product vision.
- Keep abreast of data, analytics, and AI innovations and share/pursue those applicable to our business and business priorities.
What you have
Required Qualifications:
- BS/MS in a technical field (Engineering, Computer Science, Statistics, etc.)
- 7+ Years of Product management experience - clearly documented experience as a product manager in product organizations supporting data, analytics, and AI platforms
- Strong experience driving requirements and execution with engineering teams
- Strong business acumen as well as the ability to independently run projects from idea through execution
- Demonstrated knowledge of AI/ML and statistics
- Experience with cloud infrastructure and AI development and deployment capabilities (GCP, Azure ML, Vertex, CI/CD pipelines, orchestration tools, etc.)
- Experience across the product development lifecycle from strategy, design, testing, to rollout
- Strong communication skills with stakeholders at all levels of the firm
- Experience with qualitative and quantitative methodologies to understand customer needs, product capabilities, and ultimately prioritize requirements
- Strong ability to translate product needs to technology and understand technology
- Detail oriented, unfazed by technical detail, committed to flawless execution
- Experience collaborating with geo distributed cross-functional teams including Product team
Preferred Qualifications:
- Experience in Financial Services
What's in it for you
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you - both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance