Manager, Data Operations – Business Intelligence

Job not on LinkedIn

🕒 April 27

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📚 Business Intelligence Analyst

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Agiloft

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1991

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $45M Private Equity Round on 2020-08

Enterprise • SaaS • Artificial Intelligence

Agiloft is a leading provider of enterprise contract lifecycle management (CLM) solutions designed to streamline and enhance the contracting process. Their Data-first Agreement Platform is a force multiplier that helps organizations reach agreements quickly and collaboratively, leveraging data to operate smarter and more transparently. Agiloft's offerings include integration hubs and an AI platform tailored for business services, healthcare, legal professionals, and procurement. With a high customer retention rate and recognition as a leader in the Gartner Magic Quadrant for CLM, Agiloft is known for its user-friendly no-code interface and robust service and support. The company emphasizes direct relationships and trust, promising to help clients 'Agree and Thrive.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Medical, dental, and vision insurance • Short term and long-term disability • Life insurance and AD&D • Supplemental life insurance (Employee/Spouse/Child) • Health care and dependent care Flexible Spending Accounts • 401(k) with company match • Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non- overtime eligible) position. • Paid parental leave • Voluntary benefits including pet insurance