Senior Vice President of Enterprise Data - AZ - On site
About The Position
The Senior Vice President of Enterprise Data is an executive leader and primary data architect responsible for building and operationalizing a unified, enterprise-grade data foundation for reporting, advanced analytics, and AI across Vensure’s HR, payroll, and insurance businesses. The role owns end-to-end data strategy across architecture, engineering, and governance, and helps establish a culture of data reliability, speed, and reuse at scale. During the first 12–18 months, the role’s priorities are to unify Vensure HR data into a governed and secure data lake or lakehouse across platforms and subsidiaries, and to make data ready for consumption by reporting, self-service analytics, and AI/ML. The position defines enterprise architecture and platform standards; develops reliable, cost-efficient data pipelines and trusted reporting layers; and establishes data product ownership and governed AI/ML training sets. The SVP implements governance, privacy, security, retention, compliance, incident response, and data-quality practices. The role mentors and recruits teams across data engineering, architecture, governance, and analytics, and establishes an operating model combining central standards and platforms with domain-aligned data product teams. It partners with senior stakeholders and is accountable for measurable results in data unification, reporting reliability, dataset delivery time, AI initiatives, pipeline efficiency, and analytics and AI program value.
Requirements
- BS/MS in Computer Science, Data or Software Engineering, Information Systems, or a related field.
- 15+ years of progressive experience across data architecture, data engineering, and analytics.
- 7+ years leading large, multidisciplinary data organizations in complex, multi-brand environments.
- Proven track record building enterprise data lakes/lakehouses and migrating disparate source systems to standardized models.
- Deep expertise in data modeling (3NF, star, data vault), MDM/reference data, metadata/lineage, and data-quality frameworks.
- Hands-on leadership with modern data stacks, including cloud data platforms, Spark/Databricks or Snowflake, Python/SQL, Airflow/dbt, Kafka/Event Hubs, CI/CD, Terraform, and BI tools.
- Demonstrated success enabling daily operational reporting at scale and producing AI/ML-ready datasets, including feature stores and governance for model risk.
- Executive communication skills to set vision, influence senior stakeholders, and translate technical roadmaps into business outcomes.
Nice To Haves
- Azure cloud platform experience is preferred.
- Experience in PEO/HR technology, payroll, benefits, workers’ compensation, or insurance data domains, including HRIS, time and attendance, claims, underwriting, or policy/billing.
- MBA or equivalent executive experience.
Responsibilities
- Define and execute enterprise data architecture—including data lake/lakehouse, streaming, master data management (MDM), metadata, lineage, and quality—in alignment with business OKRs.
- Select and govern platform standards, including cloud, data platforms, orchestration, and business intelligence tools.
- Build high-throughput, cost-efficient batch and streaming pipelines with automated testing, observability, and data SLAs.
- Implement gold and semantic layers for trusted daily and intraday reporting.
- Establish data product ownership, versioning, and change management for stable AI/ML training datasets.
- Implement data governance, including cataloging, lineage, access controls, privacy-by-design, and retention standards; ensure applicable compliance with SOC 2, HIPAA, and state and federal employment data regulations.
- Create incident-response and data-quality playbooks with measurable remediation timelines.
- Mentor, recruit, and develop teams across data engineering, architecture, governance, and analytics.
- Establish a federated-to-centralized operating model with central standards and platforms and domain-aligned data product teams.
- Drive accountability through outcome-based metrics, transparent roadmaps, and executive dashboards.
- Unify HR data across platforms and subsidiaries, and industrialize data preparation for reporting, self-service analytics, and AI/ML.
- Deliver the stated success metrics for architecture planning, unified domains, certified KPI reporting, data SLAs, AI feature stores, reporting reliability, dataset delivery time, and analytics and AI ROI.
Benefits
- Medical, dental, and vision coverage
- 401(k) with company match
- PTO, holidays, parental leave, and sick leave as required by applicable state law
- Life insurance
- Short-term disability
- Long-term disability
- Employee assistance program (EAP)
- Flexible spending account (FSA)
- Health savings account (HSA)
- Identity theft protection
- Critical illness, accident, cancer, and hospital protection coverage
- Legal insurance
- Pet insurance
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What This Job Offers
Job Type
Full-time
Career Level
Executive
