VP – Data Analytics / Data Analytics Architect

Saxon Global • Jersey City, NJ

1d

About The Position

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.

Requirements

• 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

Nice To Haves

• Experience with enterprise data governance frameworks
• Exposure to industry-specific analytics (Retail, BFSI, Healthcare, Manufacturing, etc.)
• Hands-on experience with tools like Snowflake, Databricks, Redshift, BigQuery, Azure Synapse
• Background in Agile / SAFe delivery models
• MBA or advanced degree in Data, Analytics, or Technology (preferred)

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

What This Job Offers

• Job Type: Full-time
• Career Level: Executive