Senior Principal Product Owner - Machine Learning Operations

Key Skills

Aartificial intelligence, AWS, AWS Sagemaker, Cloud computing, Effective communication skills, Machine learning techniques, VertexAI

Job Description

Discover’s Decisioning Platform product family entails various products working in harmony to facilitate the development, deployment, and monitoring of machine learning models. This role specifically focuses on the Machine Learning Operations (ML Ops) product within the Decisioning Platform product family. The mission of the ML Ops product is to reduce the time to market for model deployment in an automated, compliant, and secure fashion. This role will be responsible for developing, maintaining, and presenting the vision and roadmap for the Decisioning ML Ops product used by model delivery teams across multiple lines of business at Discover. This role will create product vision based on a thorough understanding of direct and indirect stakeholders needs working with business initiative owners and technology teams. Guides requirements, manages priorities, and is accountable for delivery. Empowered to make fast decisions about the initiatives, with input from leadership and other key stakeholders. Ensures the technology teams are synthesizing business objectives and agile development principles to operate and expand the existing Feature Orchestration platform. Experience with machine learning platforms as well as a fundamental understanding of the machine learning lifecycle is a plus.

Responsibilities

• Ensures an outcome for a product is delivered that meets the requests from stakeholders and customers. This requires a fundamental understanding of the business and its constraints (financial, marketing, compliance, legal, service, the customer environment, the technical capabilities, the user experience, etc.) in order to provide a solution that satisfies all stakeholders and customers.
• Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.
• Interacts and collaborates with stakeholders on key product considerations and aligns with product vision, features and roadmap. Leverages customer insights, feedback, financials, compliance and risk data to define product features and roadmap in partnership with other SMEs.
• Establish Key Performance Indicators (KPIs) and Objects and Key Results (OKRs) for the product team and ensure alignment with senior leadership (e.g., SPO, Dir, etc.). Creates and/or maintains key product documentation (e.g., customer journey map, technical specs, process mapping, etc.). Identifies and defines key non-functional requirements (e.g., security, availability, performance, etc.) to achieve necessary product metrics. Owns definition of Minimum Viable Product (MVP) and features/user stories for delivery product roadmap; in-line with the Objectives and Key Results (OKRs) of the greater product vision outlined by SPO and/or Business Director is the final decision maker for product scope
• Builds product backlog, prioritizes its items to achieve Objectives and Key Results (OKRs) and continuously keeps it up to date. Holds meetings with the product team to continuously update product backlog. Ensures product features and processes align with applicable Discover compliance and risk management standards. Ensures product adheres to the highest quality standards, including releasing security patches not linked to customers.
• Defines functional and non-functional product requirements; ensure completeness; integral and consistent; source of requirements for product team. Creates and validates user story acceptance criteria. Defines and ensures appropriate testing frameworks for product features (e.g., market testing, functional performance, etc.) Works with Data stewards in their respective LOBs to ensure required Data quality controls are identified and implemented. Inspect and evaluate product progress through each iteration.
• Partners with business technology to create technical features that are required to continuously optimize system components and underline infrastructure maintenance.
• Builds a culture of accountability and ownership by empowering the product team to make decisions as close to the work as possible. Manage dependencies with other team's functions while identifying, building, and managing strategic partnership across different product teams.

Minimum Qualifications

At a minimum, here’s what we need from you:

• Bachelor’s Degree in Business or related
• 8+ years’ experience with Product, Business, Technical, or related
• In lieu of a degree, 10 + years’ experience with Product, Business, Technical, or related

Preferred Qualifications

If we had our say, we’d also look for:

• Experience with machine learning platforms including but not limited to: AWS Sagemaker, Vertex AI, Domino, Hopsworks.
• Experience in software, data, or machine learning engineering
• Proven experience in conceptualizing, defining, building and releasing machine learning products
• Deep focus with using data to drive decisions
• Strong ability to communicate ideas both verbally and in writing

Compensation:

The base pay for this position generally ranges between $118,000.00 to $165,200.00. Additional incentives may be provided as part of a market competitive total compensation package. Factors, such as but not limited to, geographical location, relevant experience, education, and skill level may impact the pay for this position.

Benefits:

We also offer a range of benefits and programs based on eligibility. These benefits include:

• Paid Parental Leave
• Paid Time Off
• 401(k) Plan
• Medical, Dental, Vision, & Health Savings Account
• STD, Life, LTD and AD&D
• Recognition Program
• Education Assistance
• Commuter Benefits
• Family Support Programs
• Employee Stock Purchase Plan.