Morton is seeking an experienced IT Project Manager to support a large-scale enterprise data lakehouse initiative for a professional services organization in Richmond, VA.
This individual will oversee the planning, coordination, and execution of enterprise data platform projects, working closely with business leadership, data engineering, analytics, architecture, governance teams, and external implementation partners.
The ideal candidate brings strong enterprise IT project management experience, particularly with cloud-based data platforms, data modernization, and analytics initiatives. This role requires someone who can manage complex technical projects while effectively communicating with business stakeholders and ensuring initiatives deliver measurable business value.
Key Responsibilities
Lead the planning, coordination, and delivery of enterprise data lakehouse initiatives across multiple business and technology teams.
Manage IT projects throughout the full lifecycle, including business case development, project planning, design, implementation, and post-implementation reviews.
Coordinate activities across data engineering, analytics, architecture, governance, business stakeholders, and external vendors.
Partner with business and technology leadership to prioritize data products, analytics initiatives, and use cases that maximize the value of enterprise lakehouse investments.
Develop and maintain project plans, schedules, milestones, resource requirements, and status reporting.
Monitor project deliverables, risks, issues, and dependencies related to data pipelines, platform performance, data accessibility, and analytical solution deployment.
Facilitate stakeholder meetings, project updates, and communications with technical teams and executive leadership.
Identify potential delivery challenges and proactively implement mitigation strategies.
Ensure project deliverables align with business objectives, technical requirements, and organizational priorities.
Explore opportunities to leverage AI-enabled productivity tools, including Microsoft Copilot and Harvey, to improve project efficiency and collaboration.
Required Qualifications
Proven experience managing enterprise IT projects involving multiple technical teams and business stakeholders.
Experience supporting data platform, data integration, analytics, or enterprise technology initiatives.
Strong understanding of project management methodologies, including Agile, Waterfall, and hybrid approaches.
Demonstrated ability to manage project schedules, milestones, resources, risks, and dependencies.
Experience coordinating external vendors, implementation partners, and cross-functional project teams.
Ability to communicate technical project information effectively to both business and technology leadership.
Strong organizational, analytical, problem-solving, and stakeholder management skills.
Experience managing projects from initial planning through implementation and closeout.
Preferred Qualifications
Experience managing enterprise data lakehouse, data warehouse, or data modernization initiatives.
Familiarity with Microsoft Azure, Databricks, or comparable cloud-based data platforms.
Understanding of data engineering concepts, including ETL/ELT, data pipelines, data governance, and business intelligence.
Experience supporting analytics, reporting, or AI/ML initiatives.
Background working within legal, professional services, or other highly regulated environments.
PMP, CSM, or comparable project management certification.
Familiarity with AI productivity tools such as Microsoft Copilot or Harvey.