Key Responsibilities
 

Data Strategy & Leadership
1. Define and execute a forward-looking enterprise data strategy aligned with Acrisure's growth and digital transformation goals.
2. Serve as the principal advocate for data-driven decision-making across all business functions and regions.
3. Chair cross-functional councils that link data investments to product, client, and revenue outcomes.
 

Data Architecture & Infrastructure
1. Design and modernize a cloud-native Lakehouse ecosystem (e.g., Databricks) with real-time pipelines, canonical data models, and self-service APIs.
2. Evaluate and deploy best-in-class tooling for ingestion, orchestration, storage, and visualization in partnership with Infrastructure & Security teams.
3. Ensure platforms are scalable, reliable, and cost-optimized.
 

Analytics, Insights & Innovation
1. Lead enterprise AI/ML, advanced analytics, and BI programs—prioritizing high-value use cases and accelerating time-to-insight.

2. Incubate new data products, APIs, and GenAI services that generate net-new revenue or operational efficiencies.
3. Partner with Marketing, Finance, Operations, and Product to embed actionable insights into day-to-day workflows.
 

(Secondary) Data Governance, Compliance & Security Oversight
1. Provide strategic direction and executive sponsorship for data governance, privacy, and security initiatives driven by dedicated governance and cybersecurity leaders.
2. Align enterprise data policies with external regulations (GDPR, CCPA, SOX, NYDFS) through quarterly steering committee reviews.
 

Team Development & Leadership
1. Build and mentor a high-performing global team of data engineers, architects, scientists, analysts, and governance specialists.
2. Define clear career paths, training programs, and communities of practice to cultivate data talent.
3. Foster cross-functional collaboration to ensure data initiatives are tightly integrated with business objectives.
 

This description is not meant to be all-inclusive and may be modified from time to time at the discretion of management.

Qualifications
1. Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Business Administration, or a related field.
 

Preferred Qualifications
1. MBA or Master's in Data/Computer Science, Engineering, or Business.
 

Required Experience
1. 15+ years of executive-level data leadership in global, matrixed organizations.
2. Proven success in presenting and influencing Boards of Directors.
3. Expertise in delivering enterprise data strategies, cloud-native platforms 
(AWS/Azure/GCP), and AI/ML programs.
4. Familiarity with regulatory standards (GDPR, CCPA, SOX, NYDFS) and leading 
governance frameworks.
5. Demonstrated ability to drive culture change and data literacy initiatives enterprise-wide.
6. Outstanding leadership, communication, and change-management skills.
 

Preferred Experience & Certifications
1. Certifications include CDMP (DAMA), DCAM, TOGAF, and Open CDS.
2. Experience scaling GenAI responsibly and embedding AI ethics into governance.

3. Additional credentials: CIPP/E, Certified Data Management Professional, or 
equivalent.

Acrisure is committed to employing a diverse workforce. All applicants will be considered for employment without attention to race, color, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status.  California residents can learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available at www.Acrisure.com/privacy/caapplicant.
 

To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure’s property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure’s Human Resources Talent Department.