Description
At Xplor, we believe that helping people make the most of each day is the most rewarding way to spend ours. We give small and medium-sized businesses cloud-based, intuitive technology solutions that enable them to manage all the hassles of running and growing a business, so business owners can get back to doing what they love.
The Leader of Product Operations builds the operating system that helps Xplor use AI responsibly, adopt it widely, and turn it into revenue and contribution margin, with clear governance and accountability for the results.
Responsibilities
- Own the measurement and board scorecard
- Build and run a single scorecard with Finance that records every AI benefit, in one engine, net of AI cost (inference, hosting, tools and support)
- Produce the quarterly AI board scorecard covering value and risk measures, with a named owner and source system for every measure
- Run a repeatable prioritization and triage process for operations and tooling improvements, with clear owners, expected impact and follow-up on results
- Turn data into short, decision-ready narratives for the Chief AI Officer and C-suite
Measure AI-enabled productivity
- Build a measurement framework that links delivery and AI-SDLC productivity signals (cycle time, throughput, quality, adoption of AI tooling) to business outcomes such as idea-to-customer lead time, PR-to-production rate, change failure rate, escaped defects, rework and capacity moved to customer-facing work
- Help leaders see where AI productivity gains are real, where they are not, and where to invest next
- Act as a neutral orchestrator across teams that use different tools and methodologies (Scrum, Kanban, SAFe-style and hybrids; Jira, Azure DevOps and others), meeting each team where it is
Measure AI product adoption and commercialization
- Own the metrics and standardize reporting for how customers adopt and use AI features across the portfolio at 30-60-90 days, from activation and usage depth to retention and satisfaction
- Build the commercial view with Finance and BU leaders: AI and data ARR, paid attach, retention and expansion, win-rate uplift, gross margin per AI feature and cost per successful task
Govern Data and AI accountability
- Operationalize and maintain decision rights, escalation paths and clear ownership for data and AI initiatives, so every investment has a named accountable owner, success measures, and a review date
- Maintain a portfolio-level register of Data and AI initiatives and risks, and surface issues early to the Chief AI Officer with recommended actions
Lead the function
- Hire, develop and lead a product operations team, and set its mandate, operating model and success measures
- Apply AI to product operations itself, including automated reporting, insight synthesis and workflow automation