Collaborate with senior product managers and leadership to define and maintain the product roadmap for ML-driven digital experience and digital workplace solutions.
Translate business objectives and user needs into clear product requirements, user stories, and acceptance criteria.
Prioritize features and enhancements using data-driven frameworks, balancing business value, technical feasibility, and user impact.
Analyze product performance metrics, user behavior, and telemetry data to identify trends, opportunities, and areas for improvement.
Build and maintain dashboards and reports to track KPIs, adoption rates, and overall product health.
Conduct competitive analysis and market research to inform product positioning and feature development.
Partner with data science and ML engineering teams to define model requirements, success metrics, and deployment strategies.
Monitor ML model performance and user feedback to recommend iterative improvements and new use cases.
Stay current on emerging trends in AI/ML, digital workplace technologies, and employee experience platforms.
Serve as a liaison between technical teams, business stakeholders, and end users to ensure alignment on product goals and priorities.
Facilitate requirements gathering sessions, sprint planning, and product reviews with cross-functional teams.
Prepare and deliver executive-level presentations, status updates, and product performance summaries to leadership.
Advocate for the end-user experience by incorporating user research, feedback loops, and usability testing into the product lifecycle.
Identify opportunities to streamline digital workplace tools, workflows, and processes through automation and intelligent solutions.
Support change management and adoption strategies for new product launches and feature rollouts.
Requirements
Bachelor's degree
Business, Computer Science, Information Systems, Data Analytics, or a related field.
2–5 years of experience in product management, product analysis, business analysis, or a related role within a technology-driven environment.
Demonstrated experience working with data analytics tools and platforms (e.g., Databricks, Power BI, Tableau, SQL).
Foundational understanding of machine learning concepts, AI applications, and data pipelines.
Strong analytical skills with the ability to synthesize complex data into actionable insights and recommendations.
Experience with Agile/Scrum methodologies and product management tools (e.g., Jira, Aha!, Miro.).
Excellent written and verbal communication skills with the ability to present to both technical and non-technical audiences.
Proven ability to manage multiple priorities in a fast-paced, collaborative environment.
Tech Stack
SQL
Tableau
Benefits
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.