Senior Data & Analytics Project Manager

Hollstadt Consulting is a management and technology consulting firm dedicated to placing professionals at engagements where they will excel. When you work with us you will be part of a refreshingly real company led and staffed by seasoned experts who are also down-to-earth, good people. We are committed to treating you with respect and helping you achieve your career aspirations. Since 1990, Hollstadt has been a trusted partner to more than 150 domestic and global companies and has successfully completed over 3,000 projects.

Our continued growth has created challenging and rewarding opportunities for accomplished IT and Business Consultants. Hollstadt Consulting is an equal opportunity employer, including disability and veteran.

• Title
  :
  Senior Data & Analytics Project Manager
• Location
  :
  Hybrid | Las Vegas, NV
• Travel
  :
  Approximately 1 to 3 trips per month to Minneapolis, MN
• Duration
  : 6‑Month Contract (Strong Extension Potential)
• Pay
  : $70 to $76 per hour, W2

We’re seeking an experienced Senior Data & Analytics Project Manager to lead one of the most strategic work streams within a large enterprise transformation. Partnering directly with the client’s Managing Director of Data & Analytics, you will help establish structure for a growing organization while driving a portfolio of complex data initiatives. This is a highly visible leadership role responsible for coordinating cross‑functional teams, managing priorities, and ensuring critical data and analytics initiatives are delivered successfully.

• Lead the planning, execution, and delivery of the Data & Analytics workstream supporting a large enterprise transformation.
• Partner closely with the Managing Director of Data & Analytics to establish governance, project roadmaps, priorities, and execution strategies.
• Build structure, processes, and project controls for a newly formed Data & Analytics organization.
• Coordinate approximately 50 cross‑functional team members, including business stakeholders, data engineers, data architects, business analysts, analytics teams, developers, and leadership.
• Develop and manage project plans, schedules, milestones, risks, issues, dependencies, budgets, and executive‑level communications.
• Drive alignment across multiple enterprise initiatives involving Data Integration, Data Migration, Data Engineering, Business Intelligence, and enterprise reporting.
• Collaborate with technical and business teams to support enterprise data architecture, data governance, data quality, data modeling, and analytics initiatives.
• Facilitate executive steering committees, project status meetings, planning sessions, and stakeholder workshops.
• Identify risks, remove roadblocks, manage competing priorities, and maintain momentum across multiple concurrent initiatives.
• Apply Agile, Waterfall, or hybrid delivery methodologies based on business needs and project complexity.

• 8+ years of project management experience leading large, enterprise‑scale technology or business transformation initiatives.
• Proven experience managing Data & Analytics, Business Intelligence (BI), Data Engineering, Data Platform, Data Warehouse, Data Lake, Data Integration, or Data Migration projects. This is required.
• Strong understanding of enterprise data concepts, including:
  • Data Architecture
  • Data Governance
  • Data Quality
  • Data Modeling
  • Master Data Management (MDM)
  • Data Strategy
  • Enterprise Reporting
  • Analytics Delivery
• Experience leading cross‑functional teams in Agile, Waterfall, or hybrid environments.
• Exceptional stakeholder management, executive communication, and organizational skills.
• Experience with project management tools such as Jira, Microsoft Project, Azure Dev Ops, Smartsheet, or similar platforms.
• PMP certification is preferred but not required.

• Enterprise Transformation or Digital Transformation initiatives.
• Merger & Acquisition (M&A) integrations.
• Enterprise Data Platform implementations.
• Cloud technologies such as Snowflake, Databricks, Azure, AWS, or Google Cloud Platform (GCP).
• Enterprise reporting, Business Intelligence, or Analytics modernization initiatives.
• Consulti…