The Manager leads business intelligence and data operations, establishes KPI governance, oversees executive reporting, and ensures data-driven decision-making across teams.
As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
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.
The Manager will chair the company’s Data Committee, ensuring cross-functional alignment on metric definitions, data quality standards, and analytics priorities. This role will modernize enterprise reporting through scalable systems, automation, and AI-readiness initiatives while ensuring strong governance and operational discipline.
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).
Agiloft offers a comprehensive benefits package for US employees including but not limited to the following:
- 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
Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at [email protected].
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
The Senior Director, Technical Program Management will oversee the Engineering technical program management function, guiding a team, driving strategic programs, and ensuring clarity and consistency in complex projects.
Top Skills:
AIDataEngineeringInfrastructureProduct EngineeringTechnical Program Management
Artificial Intelligence • Legal Tech • Software
Prospect and close deals by managing the sales cycle for an AI legal tech platform, while gathering market insights.
Top Skills:
ApolloHubspot
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Join a team of over 30 radiologists providing general radiology services including radiography and procedures, and interpreting ultrasound and CT scans. Remote work is available.
Top Skills:
General Body CtRadiographyUltrasound
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
