Manager of Data Operations Business Intelligence

The Manager of Data Operations & Business Intelligence is responsible for leading the company’s business intelligence, KPI governance framework, executive financial reporting architecture, and data modeling standards. This role partners closely with AI Operations (which owns enterprise data and the infrastructure and platform architecture needed to build AI across the organization), Finance, GTM Operations, Product Operations, Corporate Systems and executive leadership to establish a single source of truth and enable data-driven decision-making across the organization.

Job Responsibilities

Define business data requirements and dimensional models for reporting and analytics use cases.
Partner with AI Operations on warehouse architecture decisions to ensure reporting needs are supported.
Validate data transformations for accuracy and metric consistency.
Partner with the Integrations Engineer to prioritize and oversee data ingestion, transformation, and pipeline development for executive reporting, board reporting, and operational dashboards.
Handle escalation for data quality, discrepancies, and metric disputes.
Own change management for reporting data models, KPI definitions, and reporting logic, including versioning and communication.
Establish and maintain a centralized KPI registry, including standardized metric definitions across Finance, Sales, Operations, and Product.
Chair and manage the cross-functional Data Committee to ensure enterprise-wide governance and alignment.
Develop KPI governance policies and reporting standards, including data ownership, access controls, documentation standards, and quality SLAs.
Design and standardize executive dashboards and reporting packages, reducing shadow reporting and spreadsheet fragmentation.
Support Finance with forecasting models, ARR reporting, SaaS metrics, and board-ready reporting packages.
Evaluate and optimize BI tools and reporting platforms to improve scalability and self-service analytics.
Responsible for KPI and metric definitions within the semantic layers.
Implement data quality monitoring processes and ensure integrity of critical business datasets.
Collaborate with AI Operations to ensure reporting models and KPI frameworks align with AI-driven use cases and operational automation initiatives
Drive process improvements related to reporting automation, metric clarity, and cross-functional data workflows.
Partner with GTM Ops, RevOps, and Product Ops to ensure operational reporting aligns with financial reporting standards.
Provide analytical support for strategic initiatives, pricing analysis, business cases, and performance improvement opportunities.
Other duties as assigned.

Required Qualifications

Bachelor’s degree in Business, Finance, Information Systems, Computer Science, or related field required.
7–10 years of experience in business intelligence, data analytics, data warehousing, or related functions.
Strong SQL proficiency and demonstrated experience designing and implementing dimensional data models.
Experience working with modern data stack technologies.
Experience building and standardizing executive dashboards and KPI frameworks.
Strong understanding of SaaS business metrics including ARR, MRR, churn, CAC, LTV, and revenue modeling.
Experience partnering closely with Finance and executive leadership.
Demonstrated ability to manage cross-functional initiatives and align stakeholders on metric definitions and governance standards.
Exposure to AI/ML initiatives leveraging structured enterprise data.
Strong analytical, critical thinking, and problem-solving skills.
Strong written and verbal communication skills.
SaaS industry experience required.

Preferred Qualifications

• Experience in private-equity backed SaaS organizations.
• Experience supporting Board reporting and executive-level presentations.
• Experience establishing data governance committees or enterprise-wide data standards.
• Experience with financial systems (Intacct preferred).