Technical Project Manager, Data Warehousing & Enterprise Reporting

About the Company

The Hackett Group is a global AI, digital transformation, and business advisory firm headquartered in Miami, Florida. The firm helps leading organizations improve performance through benchmarking, best-practice insights, enterprise applications, business transformation, and technology-enabled consulting services.

We are seeking an experienced Technical Project Manager, Data Warehouse & Enterprise Reporting to lead the delivery of strategic data and analytics initiatives across the enterprise. This role will be responsible for managing complex programs involving enterprise data warehousing, modern reporting platforms, cloud-based data ecosystems, and business intelligence solutions.

About the Role

The ideal candidate brings deep experience managing large-scale data engineering and analytics projects, with strong technical understanding of Microsoft Fabric (preferred), or comparable platforms such as Azure Data Services and Databricks. This individual will serve as the bridge between business stakeholders, data engineering teams, architects, analytics teams, and executive leadership to ensure successful delivery of high-impact data solutions.

This is a highly visible role requiring strong leadership, exceptional communication skills, and the ability to drive execution across multiple cross-functional teams in a fast-paced enterprise environment.

*Location Requirement: Must be local to the Orlando area and able to work on-site full-time.

Experience Requirement: Minimum 10 years of project management experience with significant exposure to data and analytics programs.

Responsibilities

Project & Program Leadership

• Lead end-to-end delivery of enterprise data warehouse, business intelligence, and reporting initiatives.
• Manage project scope, schedule, budget, risks, dependencies, and resource allocation across multiple concurrent projects.
• Drive Agile, Waterfall, or hybrid delivery methodologies as appropriate.
• Facilitate project governance, steering committee discussions, executive updates, and stakeholder communications.
• Ensure alignment between business objectives, technical architecture, and delivery timelines.

Technical Delivery Oversight

• Partner with data architects, engineers, analysts, and reporting teams to deliver scalable data solutions.
• Manage projects involving:
• Enterprise Data Warehousing
• Data Integration and ETL/ELT Pipelines
• Enterprise Reporting Platforms
• Business Intelligence Solutions
• Cloud Data Platforms
• Data Governance and Data Quality Initiatives
• Ensure solution designs adhere to enterprise architecture standards, security requirements, and data governance policies.
• Monitor project health and proactively resolve roadblocks impacting delivery.

Stakeholder & Vendor Management

• Collaborate with business leaders to define requirements, priorities, and success metrics.
• Build strong partnerships across Finance, Operations, Marketing, Revenue Management, Customer Experience, and Technology teams.
• Coordinate third-party vendors, consulting partners, and offshore development teams when applicable.
• Communicate effectively with both technical and non-technical stakeholders.

Risk & Change Management

• Identify and mitigate project risks before they impact business outcomes.
• Manage change requests and ensure proper governance throughout the project lifecycle.
• Establish and track KPIs, project milestones, and delivery metrics.

Qualifications

• Bachelor's degree in Information Technology, Computer Science, Engineering, Business, is preferred.
• 10+ years of project management experience, including leadership of large-scale technology initiatives.
• 5+ years managing enterprise data warehouse, analytics, business intelligence, or reporting projects.
• Proven experience delivering projects involving:
• Data Warehousing
• Enterprise Reporting
• Business Intelligence Platforms
• Data Integration
• Cloud Data Architectures
• Strong understanding of SDLC, Agile methodologies, and project governance practices.
• Experience managing cross-functional teams comprised of architects, data engineers, developers, analysts, and business stakeholders.
• Excellent communication, executive presentation, and stakeholder management skills.
• Ability to translate technical concepts into business value and outcomes.

Required Skills

Primary Preference

• Microsoft Fabric
• Fabric Data Warehouse
• Lakehouse
• OneLake
• Fabric Data Engineering
• Power BI Integration
• Data Factory within Fabric

Acceptable Alternative Experience

• Microsoft Azure Data Platform
• Azure Data Factory
• Azure Synapse Analytics
• Azure Data Lake Storage
• Azure SQL
• Power BI
• Databricks
• Data Engineering Pipelines
• Lakehouse Architecture
• Spark-Based Analytics

Preferred Skills

• Data Modeling Concepts
• ETL/ELT Frameworks
• Data Governance & Master Data Management
• Reporting & Analytics Platforms
• Cloud Migration Projects
• Enterprise Data Strategy Initiatives

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.