Vice President, Data Engineering & Analytics

Location: West Conshohocken

Location: West Conshohocken, PA Salary: $ USD Annually - $ USD Annually Description:
Vice President, Data & Analytics
Position Overview

Reporting directly to the Head of Technology, the Vice President of Data & Analytics will establish and lead the organization's enterprise data strategy and platform. This executive-level leader will oversee the complete data lifecycle, including data acquisition, integration, transformation, governance, analytics, and reporting across a diverse portfolio of operational systems and connected technologies.

The organization relies on data to drive key business decisions across operations, finance, human resources, customer engagement, asset management, and strategic planning. This role will transform data from multiple enterprise platforms into a scalable, governed, cloud-based analytics ecosystem that enables trusted insights and empowers business leaders throughout the company.

Success in this position requires a combination of technical leadership, organizational influence, and strategic vision. The VP will lead teams of data engineers and analysts, establish data governance and security standards, partner with executive stakeholders to prioritize investments, and champion a culture centered on data-driven decision making.
Key Responsibilities
Data Platform & Engineering

• Lead the design, implementation, and ongoing evolution of the enterprise data architecture, leveraging the Microsoft Azure ecosystem, including Azure Data Factory, Azure Data Lake Storage Gen2, Azure Synapse Analytics, Microsoft Fabric, and Power BI.
• Evaluate emerging technologies and modern data architectures, including lakehouse platforms such as Microsoft Fabric, Databricks, and Snowflake, ensuring scalability and alignment with business objectives.
• Direct the development of ETL/ELT processes that consolidate data from enterprise applications, including property management, CRM, HCM, financial systems, procurement platforms, and IoT-enabled devices.
• Establish repeatable and scalable integration frameworks for APIs, third-party data providers, and external system connections.
• Define enterprise standards for data quality, metadata management, master data management (MDM), and data lineage.
• Oversee the development of automated CI/CD processes for data pipelines and ensure operational excellence through monitoring, alerting, and service-level management.

Analytics, Reporting & Business Intelligence

• Lead the enterprise Business Intelligence function and establish best practices around Power BI, including semantic models, workspace governance, row-level security, and self-service analytics capabilities.
• Partner with functional leaders to design, implement, and monitor meaningful KPIs and performance metrics.
• Collaborate with Data Science and AI teams to support advanced analytics, predictive modeling, and emerging AI initiatives.
• Ensure reporting platforms, executive dashboards, and self-service analytics solutions remain accessible, scalable, and governed through a centralized data catalog.

Strategy & Leadership

• Recruit, mentor, and develop a high-performing team of data engineers, analysts, and BI professionals while fostering accountability, innovation, and continuous learning.
• Create and maintain a multi-year data and analytics roadmap aligned with business growth initiatives, technology modernization efforts, and future organizational priorities.
• Serve as a strategic advisor to executive leadership, translating business goals into scalable data and analytics solutions.
• Manage relationships with cloud providers, analytics vendors, and other technology partners, including contract negotiations and technology evaluations.

Data Governance & Security

• Develop and implement a comprehensive enterprise data governance framework covering ownership, stewardship, classification, quality standards, and accountability across business domains.
• Ensure adherence to applicable privacy regulations, industry requirements, and internal security standards.
• Partner closely with information security teams to maintain role-based access controls, audit capabilities, encryption standards, and governance policies across cloud-based data…