Manager, Customer Data Quality Operations

About Measurabl

Measurabl has developed the leading ESG (environmental, social, governance) data management solution for commercial real estate—and we’re looking forward to doing so much more! Our team is a diverse group of innovators, leaders, and creators who are passionate about the work we do. We believe technology plays a central role in creating a sustainable, equitable world, and we’re working to build something that matters.

Overview:

Utility data quality is the hardest problem in commercial real estate sustainability, and it is the primary reason customers choose Measurabl. As Manager, Customer Data Quality Operations, you will be a hands-on operational leader who owns that function end to end: setting and enforcing the quality standards, monitoring the health of customer data, building the AI-driven automation and internal resources that resolve issues at scale, and leading the offshore and vendor teams that deliver the work.

Everything you do in this role serves one outcome: the trust our customers and partners place in Measurabl. They depend on us for investment-grade data — the kind that holds up in an audit, a transaction, or a regulatory filing — and you will own what makes that claim defensible. You will earn that trust in how you act, not what you assert: in how quickly you surface a problem, how completely you resolve it, and how clearly and honestly you communicate with customers, customer-facing teams, and delivery partners.

You will be measured on outcomes, not activity — not by how much work you personally route, but by how much more your team delivers, and at what quality, because of what you put in place. You will get there by empowering the people who do the work with clear expectations, the resources to succeed, and direct feedback, and by holding team members and delivery partners accountable to the same bar. Automation is your primary lever. You will build the agents and scripts that resolve routine work, generate and maintain the knowledge resources internal teams rely on, and remove manual steps rather than staff them. 

If you have been waiting for a role where automating your own team's work is the job rather than a side project, this is it.

Essential Functions & Responsibilities:

The essential functions and responsibilities for this position include but are not limited to, the following. Other duties may be assigned as needed. 

Customer Data Health

• Serve as the technical voice on customer data quality alongside Customer Success and Data Advisory — providing insight into actions that will further drive customer data quality.
• Serve as the escalation point for ambiguous or high-impact issues, setting accurate expectations on what is being addressed, setting clear expectations on timely delivery.
• Oversee monitoring of customer data health across all portfolios — completeness, accuracy, timeliness, and audit-readiness — and drive action to address issues before they become a customer escalation.
• Ensure data operations conform to Measurabl's Data Assurance Policy, internal controls and operational targets (error rate, resolution time, SLA attainment, backlog aging, rework), ensuring customer data will withstand customer and third-party audit.
• Uphold the handling standards for confidential customer information across the team and delivery partners.
• Lead data quality incidents end to end — classification, containment, root cause, validated fix, and lessons learned — in line with Measurabl's data assurance framework, and confirm the corrective action held.

AI, Automation & Internal Enablement

• Design, build, and deploy AI-based automation — agents, skills, scripts, and workflow tooling — that resolves routine data quality work without human handling. 
• Build a mechanism to monitor the effectiveness of automation and AI, find any issues with their output and correct them as part of the ongoing process.
• Find the highest-volume manual work in the operation, quantify what it costs, and convert it into automation; treat any repeated manual task as a candidate for elimination.
• Lead the change, not just the build: bring the team through each new tool or process — explain why it changes, train to the new standard, address resistance directly, and measure adoption until the new way is the way the work gets done.
• Partner with Product and Engineering to move proven operational automation into the platform where it belongs.

Operational Leadership & Internal Partnership