- Company Name
- Independence Pet Holdings
- Job Title
- Senior Director, Enterprise Data Enablement
- Job Description
-
**Job Title**
Senior Director, Enterprise Data Enablement
**Role Summary**
Lead enterprise‑wide data and AI transformation on behalf of the Chief Data Officer. Translate the organization’s data vision into scalable capabilities, governance standards, and cross‑functional execution frameworks that support underwriting, claims, finance, marketing, and customer operations. Drive modernization of the data ecosystem, ensuring alignment with regulatory, security, and privacy requirements while delivering measurable business value.
**Expectations**
- Deliver measurable ROI from data and AI investments within a regulated insurance environment.
- Maintain enterprise data maturity, operating model, and governance frameworks over a multi‑year horizon.
- Demonstrate executive presence, influencing senior leadership and securing long‑term buy‑in.
- Build and manage a high‑performing data team, developing capability and succession plans.
**Key Responsibilities**
1. **Enterprise Data Enablement** – Build and operationalize frameworks for data governance, quality, metadata management, model oversight, and responsible AI.
2. **Road‑mapping & Execution** – Translate data priorities into cross‑functional roadmaps for underwriting, claims, finance, marketing, and customer operations.
3. **Executive Partnership** – Partner with senior leaders, influence data‑platform and AI investment priorities, and represent the IDEA organization in executive forums.
4. **Data Platform & Architecture Modernization** – Oversee cloud platform migration, data engineering frameworks, AI enablement layers, interoperability, security, and privacy alignment.
5. **Organizational Leadership** – Lead enterprise data teams, develop talent roadmaps, succession planning, and manage finance for the data organization.
**Required Skills**
- Executive leadership and stakeholder management.
- Data strategy, architecture, and platform modernization (cloud, Hadoop, Spark, Azure/AWS/GCP).
- Data governance, quality, metadata, model governance, and responsible AI principles.
- Project/program management, budgeting, and operational oversight.
- Knowledge of regulatory requirements in insurance, privacy (GDPR, CCPA), and cybersecurity.
- Strong communication, influence, and translation of technical concepts to business outcomes.
**Required Education & Certifications**
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Business, or related field (Master’s preferred).
- Professional certifications such as Certified Data Management Professional (CDMP), Certified Information Systems Security Professional (CISSP), or equivalent data/AI certifications are desirable.