VP – Data Analytics / Data Analytics Architect
Job in
Jersey City, Hudson County, New Jersey, 07310, USA
Listed on 2026-08-05
Listing for:
Saxon Global
Full Time
position Listed on 2026-08-05
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Data Science Manager
Job Description & How to Apply Below
VP – Data Analytics / Data Analytics Architect
We are seeking a seasoned VP – Data Analytics / Data Analytics Architect to lead enterprise-wide data strategy, analytics architecture, and advanced insights initiatives. This role will drive data-driven decision-making, modern analytics platforms, and scalable data solutions while partnering closely with executive leadership, business stakeholders, and engineering teams.
Key Responsibilities:
- Define and own the enterprise data & analytics strategy and roadmap
- Design and govern end-to-end analytics architecture (data ingestion, storage, processing, visualization)
- Lead large-scale data transformation and modernization initiatives
- Drive adoption of advanced analytics, BI, AI/ML, and predictive modeling
- Partner with business leaders to translate business objectives into analytics solutions
- Oversee data governance, data quality, security, and compliance frameworks
- Evaluate and select analytics platforms, tools, and technologies
- Lead and mentor data architects, engineers, analysts, and data scientists
- Establish KPIs and metrics to measure business value from analytics initiatives
- Act as a trusted advisor to CXOs and senior stakeholders
Required
Skills & Experience:
- 15+ years of experience in Data Analytics, Data Engineering, or Data Architecture
- Proven experience in VP / Director / Enterprise Architect–level roles
- Strong expertise in data architecture and analytics platforms
- Hands-on knowledge of cloud data ecosystems (AWS, Azure, or GCP)
- Experience with data warehousing, data lakes, lakehouse architectures
- Strong background in BI & visualization tools (Power BI, Tableau, Looker, etc.)
- Exposure to AI/ML, advanced analytics, and big data technologies
- Experience managing large, cross-functional global teams
- Excellent stakeholder management and executive communication skills
Preferred Qualifications:
- Experience with enterprise data governance frameworks
- Exposure to industry-specific analytics (Retail, BFSI, Healthcare, Manufacturing, etc.)
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