LP
Senior Director, Product Owner
LinkedIn Recruiter Post
Senior Director, Product Owner for Digital Acquisition Chequing and Bundles, driving digital account acquisition and leading agile squad.
About the role
- Senior Product Manager at Enable leading AI integration for rebate management platform. Collaborating with cross-functional teams to enhance product capabilities using machine learning and automation.
Responsibilities
- Collaborate with leadership, engineering, design, and data science to define and communicate an AI‑enhanced product vision aligned with business goals.
- Conduct research and customer discovery to identify opportunities for automation, predictive insights, and agentic workflows.
- Build and own the product roadmap, prioritizing high-impact AI/ML features, data workflows, and automation improvements.
- Translate customer needs into clear requirements for AI capabilities, ensuring data quality, scalability, and responsible AI practices.
- Lead development cycles for AI-enabled features, including data preparation, experimentation, model validation, and user testing.
- Ensure AI experiences are intuitive, ethical, and valuable — such as forecasting, recommendations, anomaly detection, and automated actions.
- Collaborate closely with engineering, design, data science, product marketing, and GTM teams to align on goals and deliver high-quality outcomes.
- Drive product releases, setting success metrics and using customer feedback and analytics to measure impact and guide continuous improvement.
- Oversee testing of AI features including model validation, performance monitoring, and UAT.
- Act as the primary communication hub for stakeholders, providing transparency on priorities, progress, decisions, and timelines.
Requirements
- 7+ years of product management experience preferably in a B2B environment; having B2C experience as well is a plus.
- Bachelor’s degree in Computer Science, Engineering, Business, Data Analytics, or equivalent experience.
- Experience shipping AI/ML, Data or Analytics products within a B2B SaaS environment.
- Experience working directly with data science teams to define AI functionality and interpret model outputs.
- Familiarity with data privacy, compliance, and ethical considerations for enterprise AI.
- Experience in launching and managing go-to-market strategies for products.
Benefits
- Paid Time Off: Take the time you need to relax and recharge
- Wellness Benefit: Quarterly incentive dedicated to improving your health and well-being
- Comprehensive Insurance: Health and life coverage for you and your family
- Retirement Plan: Build your future with our retirement savings plan
- Lucrative Bonus Plan: Enjoy a rewarding bonus structure subject to company or individual performance
- Equity Program: Benefit from our equity program with additional options tied to tenure and performance
- Career Growth: Explore new opportunities with our internal mobility program
- Free Food: Complimentary meals, snacks, and drinks on-site in our global offices
- Training: Access a range of workshops and courses designed to boost your professional growth and take your career to new heights
- Pets: Bring your pets to our welcoming, pet-friendly offices
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