Sr. IT Project Manager - Analytics

CoEnterprise is an award-winning B2B software and professional services company specializing in supply chain and business analytics. They are seeking a Senior Project Manager to lead complex analytics initiatives for enterprise clients, ensuring successful execution of data-driven transformation projects.

Responsibilities:

• Lead full lifecycle delivery of Analytics and Business Intelligence projects across multiple client engagements
• Manage complex data initiatives including: Enterprise Data Warehousing (EDW), Data Lake / Lakehouse implementations, BI & reporting modernization, Advanced analytics and predictive modeling programs, AI/ML deployment initiatives, Data governance and data quality programs
• Develop detailed project plans, roadmaps, and resource plans aligned to analytics program objectives
• Manage scope, budget, timelines, and risk across concurrent analytics workstreams
• Oversee requirements gathering for analytics use cases, KPIs, dashboards, and data models
• Coordinate cross-functional delivery teams including data engineers, data architects, BI developers, data scientists, and QA teams
• Ensure data integration, ETL/ELT, and reporting solutions are delivered according to design and business expectations
• Drive stakeholder engagement across business, IT, and executive leadership
• Implement Agile, hybrid, or waterfall methodologies suited for analytics program delivery
• Manage client communications, steering committees, and executive status reporting
• Ensure analytics solutions align with regulatory, compliance, and data governance requirements
• Track business value realization and ROI from analytics initiatives

Requirements:

• 10+ years of project/program management experience with at least 7+ years delivering Analytics or Data-focused initiatives
• Proven experience managing enterprise-scale: Data warehouse or cloud data platform implementations, BI tool deployments (e.g., Power BI, Tableau, Looker), Data migration and modernization projects, AI/ML or advanced analytics initiatives
• Strong understanding of data architecture concepts including ETL/ELT, data modeling, APIs, and data pipelines
• Experience managing projects in cloud environments (AWS, Azure, or GCP)
• Demonstrated experience in professional services or consulting environments with multiple client engagements
• Strong financial management experience including T&M and fixed-price engagements
• Experience leading distributed and offshore delivery teams
• Familiarity with data governance frameworks and data quality programs
• PMP, PgMP, PMI-ACP, or equivalent certification
• Experience managing Snowflake, Databricks, Redshift, BigQuery, or Synapse initiatives
• Exposure to MLOps or production AI deployment programs
• Experience delivering analytics projects in regulated industries (Financial Services, Healthcare, Insurance)