Director - Data Governance and AI Operations

Sorry, this job was removed at 04:09 p.m. (CST) on Monday, Sep 08, 2025
2 Locations
Remote or Hybrid
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Role

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less.  

Built on a foundation of AI and ML, our Identity Security Cloud Platform delivers the right level of access to the right identities and resources at the right time—matching the scale, velocity, and changing needs of today’s cloud-oriented, modern enterprise.  

 

About the role: 

We are seeking a dynamic and experienced Director of Data Governance and Operations to lead our data governance and data quality initiatives Reporting to the VP of IT, this leadership role will be pivotal in driving data-driven decision-making across our Go-To-Market (GTM) operations and Finance organizations. The ideal candidate will possess a deep passion for data governance, a proven track record of developing and executing successful data quality strategies, and a strong understanding of how data fuels AI innovation. 

 

Essential Duties and Responsibilities 

  • Develop and champion a comprehensive data strategy aligned with SailPoint’s overall business objectives, with a particular focus on GTM and Finance. 

  • Establish and maintain a robust data governance framework, including policies, standards, and procedures, to ensure data quality, accuracy, and compliance. 

  • Partner with GTM and Finance leadership to identify data needs, develop data solutions, and drive the adoption of data-driven insights to improve performance. 

  • Lead efforts to monitor and improve data quality across key systems and data sources, implementing data cleansing and validation processes. 

  • Ensure data readiness for AI initiatives, collaborating with Enterprise Applications and Data Engineering teams to prepare and structure data for AI model development and deployment. 

  • Salesforce Expertise: Leverage in-depth knowledge of Salesforce to optimize data management, reporting, and analytics within the platform. 

  • Build, mentor, and manage a high-performing team of data professionals, fostering a culture of collaboration, innovation, and continuous improvement. 

  • Collaborate effectively with stakeholders across IT, GTM, Finance, and other departments to ensure alignment on data strategy and priorities. 

  • Stay abreast of emerging trends in data management, AI, and analytics, and identify opportunities to leverage new technologies to enhance SailPoint’s data capabilities. 

 

Required Qualifications 

  • 15+ years of experience in data management, data governance, or data strategy roles, with increasing levels of responsibility. 

  • Proven track record of developing and executing successful data strategies for GTM operations and Finance. 

  • Strong experience with Master Data Management (MDM)

  • Deep understanding of data governance principles, practices, tools, and technologies. 

  • In-depth knowledge of Salesforce data model, reporting, and analytics capabilities.

  • Experience with Salesforce administration. 

  • Strong understanding of AI and machine learning concepts, and the importance of data readiness for AI. 

  • Excellent leadership, communication, and interpersonal skills. 

  • Ability to influence and collaborate effectively with stakeholders at all levels of the organization. 

  • Experience building and managing high-performing teams. 

  • Strong analytical and problem-solving skills. 

  • Salesforce certifications are highly desirable. 

  • Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Business Analytics). 

What success looks like 

 

30-Day Plan (Orientation and Integration): 

  • Objective: Establish foundational knowledge and integrate into the team. 

  • Training & Learning: 

  • Introduction to SailPoint Enterprise Systems and Data Platform  

  • Review company policies, procedures, and compliance requirements 

  • Roles & Responsibilities: 

  • Understand job expectations, key performance indicators (KPIs), and deliverables. 

  • Review IT team structure and individual roles 

  • Review GTM and Finance team structure and roles and responsibilities of key stakeholders 

  • Relationship Building: 

  • Meet team members, key stakeholders, and cross-department colleagues. 

  • Participate in onboarding activities and one-on-one meetings with IT leaders. 

  • Immediate Contributions: 

  • Assess and compile problem statement on data governance and data quality 

  • Assess and compile data flow diagrams for the key GTM and Finance metrics 

  • Assist with data requests to get familiar with SailPoint internal data needs, e.g. ACV/ARR 

  • Initiate recruiting of data analyst 

 

60-Day Plan (Data Leadership and Strategic Thinking) 

  • Objective: Expertise on SailPoint business data and define strategy for data governance and data quality 

  • Establish structure and recurring cadence with key business stakeholders and IT system owners on data governance 

  • Define SailPoint Master Data and process to ensure data integrity 

  • Establish metrics to measure data quality 

  • Recommend industry best practice for data governance and data quality 

  • Define roadmap 

  • Data Governance and MDM initiatives 

  • Data repository and metadata for AI 

  • Project Involvement: 

  • SailPoint ARR/ACV Reporting 

  • Data foundation for AI 

  • Team Building and Relationship Building: 

  • Complete recruiting of new data analyst 

  • Demonstrate ability to engage business and IT stakeholders and partnership on key data initiatives 

 

90-180 Day Plan (Execution on Roadmap) 

  • Objective: Establish leadership and make impact to key data initiatives 

  • Data Quality 

  • Complete the top 2 initiatives for data quality for Salesforce 

  • Data Governance and MDM 

  • Publish the master data definition and framework 

  • Collaborate with business stakeholders and IT system owners to implement system validation and business operations to ensure data integrity 

  • AI 

  • Collaborate with IT system owners and Data Engineering team to build metadata for AI consumption 

  • Deliver data for AI model training and AI search 

  • Validate the AI output to ensure accuracy 

 

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.  

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability.  Contact [email protected] or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.

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The Company
HQ: Austin, TX
2,461 Employees
Year Founded: 2005

What We Do

At SailPoint, we believe enterprise security must start with identity at the foundation. Today’s enterprise runs on a diverse workforce of not just human but also digital identities—and securing them all is critical. Through the lens of identity, SailPoint empowers organizations to seamlessly manage and secure access to applications and data at speed and scale. Our unified, intelligent, and extensible platform delivers identity-first security, helping enterprises defend against dynamic threats while driving productivity and transformation. Trusted by many of the world’s most complex organizations, SailPoint secures the modern enterprise.

Why Work With Us

Together, we’re redefining identity’s place in the security ecosystem. We love taking on new challenges that seem daunting to others. We hold ourselves to the highest standards and deliver upon our promises to our customers. We bring out the best in each other, and we’re having a lot of fun doing it.

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