Director, Product Ownership & Applied AI Evaluations

1w1 week ago

BMO

San Francisco, US · Full-time · $164,400 – $285,600

About this role

The Director / Product Owner at BMO shapes, delivers, and manages innovative AI-driven products in highly regulated financial environments. This strategic role aligns business objectives with cutting-edge AI technologies, ensuring product-market fit, customer-centric innovation, and regulatory compliance. It directs scalable artificial intelligence systems for business predictions.

Enhance data pipelines and lakes for clean, accurate data optimized for machine learning models. Monitor, evaluate, and optimize learning processes to improve high-performance models. Work with data professionals to scale analysis into repeatable solutions and decision support tools.

Oversee designs and development of machine learning and deep learning systems/products. Build interdependent teams across functional groups to create stakeholder value. Operate at group/enterprise-wide level as a senior specialist resource influencing team collaboration.

Attract, retain, and develop top talent while improving team performance. Apply expertise creatively to solve complex, interdependent problems in ambiguous situations. Anticipate trends, foster networks, and implement changes to achieve business objectives.

Requirements

Senior Leader (people manager) with solid experience in AI/Gen AI Products and Portfolios
Exceptional leadership aligning business objectives with AI technologies in regulated environments
Expertise in overseeing scalable AI systems, data pipelines, and machine learning models
Hands-on experience running ML tests, solving complex data problems, and optimizing frameworks
Ability to operate at group/enterprise-wide level as senior specialist resource
Strong skills in building and leading cross-functional teams for stakeholder value
Proficiency in communicating abstract concepts simply and fostering internal/external networks
Experience anticipating trends and implementing changes in ambiguous situations

Responsibilities

Oversee designs and development of machine learning (ML) and deep learning systems/products
Run hands-on machine learning tests and experiments; train and retrain systems to prevent drift and optimize results
Solve complex problems with multi-layered data sets; extend existing ML frameworks and optimize libraries
Develop Machine Learning apps, implement algorithms, and build tools to apply ML frameworks
Oversee product portfolio; define and articulate vision, strategy, and roadmap for AI/GenAI products
Lead complete AI product lifecycle from concept and MVP to launch, optimization, and retirement
Prioritize product backlog aligning with strategic business objectives and regulatory requirements
Build interdependent teams that collaborate across functional and operating groups