Director of Data Intelligence and Analytics

Overview

Our client is seeking a Director, Data Intelligence & Analytics with a passion for building modern enterprise software and data platforms that deliver measurable business impact. This is a highly visible leadership role responsible for driving the development, transformation, and governance of enterprise technology platforms across the organization.

In this role, you will lead and grow a team of 12+ software developers, data engineers, and platform engineers
, operating at the intersection of cloud computing, data engineering, architecture, and analytics
. The ideal leader blends high emotional intelligence with deep technical expertise—someone who can modernize legacy ecosystems, implement scalable cloud-native architecture, and unlock new insights through data and automation.

If you re energized by AI, automation, and innovation through data
, this is a unique opportunity to make a lasting enterprise-wide impact.

Enterprise Platform Strategy & Execution

• Execute the enterprise strategy for software and data platforms aligned to organizational priorities and business goals.
• Drive multi-year modernization roadmaps spanning application architecture, integration, data platforms, and analytics capabilities.
• Establish platform governance, engineering standards, and operational excellence practices across delivery teams.
• Lead modernization initiatives including legacy refactors, system re-platforming, cloud migrations, and automation programs.
• Microservices
• Event-driven and real-time processing
• Cloud-native development and infrastructure
• Oversee platform engineering across modern stacks including .NET, Python, Azure, and enterprise integration tooling.

Data Architecture & Advanced Analytics Enablement

• Lead the design and implementation of modern data architectures that support:
• Real-time insights
• Enterprise reporting and dashboarding
• Predictive analytics and machine learning enablement
• Leverage technologies and platforms such as Microsoft SQL Server, Postgre
  
  SQL, Tableau, Power BI, R, and Python to support strategic insights and enterprise decision-making.
• Ensure data governance, integrity, privacy, and usability across platforms.
• Enable and champion AI/ML, intelligent automation, and predictive analytics to improve operations and enhance customer experiences.
• Drive adoption of automation-first thinking across engineering and analytics workflows.

• Lead, mentor, and develop cross-functional teams of software engineers and data engineers.
• Foster a culture of high performance, collaboration, continuous learning, and innovation.
• Champion experimentation and continuous improvement while maintaining enterprise reliability and security standards.

• Partner with product, architecture, security, and business leaders to deliver solutions that improve efficiency, reduce risk, and unlock new opportunities.
• Serve as a strategic advisor to senior leadership by translating complex technical initiatives into clear business value.

• Oversee program execution, vendor partnerships, budgeting, and resource planning to ensure successful and timely delivery.
• Ensure platform initiatives are delivered on schedule, within scope, and aligned with enterprise standards.