IT Project Manager

SMART TECH SKILLS LLC

3d•Remote

About The Position

The Senior IT Project Manager leads the delivery of 2 to 4 concurrent enterprise Data & Analytics projects. This is a hands-on technical project leadership role—not a generic coordinator or Scrum Master position—requiring deep familiarity with modern data architectures, cloud data lakes, ETL pipelines, and BI platforms. The project manager partners closely with data engineers, architects, and business stakeholders to drive project schedules, oversee financials, enforce data governance, mitigate technical risks, and maintain team accountability across the full Software Development Life Cycle (SDLC).

Requirements

10 or more years of hands-on IT Project Management experience managing complex software and technology initiatives.
Demonstrated recent experience leading enterprise-level Data & Analytics projects.
Strong familiarity with Azure data environments, including Azure Data Lake and modern data lakehouse architectures.
Working knowledge of Databricks and cloud-based data ingestion/pipeline concepts.
Proven experience managing BI and reporting projects utilizing Power BI or Tableau.
Deep understanding of enterprise data governance, privacy, security regulations, and data loss prevention risks.
In-depth expertise in the full Software Development Life Cycle (SDLC) across both Agile and Waterfall delivery models.
Advanced project scheduling and controls capabilities (Gantt charts, critical path management, milestones, RAID logs, and financial budgeting).
Demonstrated track record of successfully managing multiple complex projects simultaneously.
Strong technical acumen with the confidence to challenge engineering assumptions, question estimates, and push back constructively.
Exceptional executive communication, stakeholder management, and conflict resolution skills.
High accountability and drive to keep complex, multi-threaded projects on schedule and within budget.
Proactive risk management mindset with strong critical-thinking and problem-solving abilities.

Nice To Haves

Project management certifications such as PMP (Project Management Professional) or Agile certifications (PMI-ACP, CSM).
Experience with enterprise data modernization, cloud data warehouse migrations, or master data management (MDM) initiatives.
Familiarity with modern data integration and orchestration tools.

Responsibilities

Lead the end-to-end delivery of 2 to 4 concurrent Data & Analytics projects across both Agile and Waterfall methodologies.
Build, baseline, and maintain comprehensive project plans, detailed Gantt charts, milestone schedules, dependency maps, and critical paths.
Establish and actively manage RAID (Risks, Assumptions, Issues, Dependencies) logs, identifying technical bottlenecks and driving mitigation strategies.
Oversee project financial management, tracking project budgets, resource allocations, actuals, and forecasts.
Guide technical delivery teams through the full SDLC, ensuring adherence to data architecture, pipeline engineering, and reporting milestones.
Enforce enterprise data governance, data privacy, compliance, security protocols, and data leakage prevention standards across data ingestion pipelines.
Collaborate with technical teams working in Azure Data Lake, Databricks, and business intelligence environments (Power BI / Tableau).
Serve as the central communication bridge between executive sponsors, business stakeholders, data engineering teams, and analytics leads.
Challenge technical teams and vendors when necessary, holding delivery teams accountable to milestones, deliverables, and quality standards.
Facilitate structured status meetings, executive steering committee reporting, and transparent progress updates.