• Manage multiple projects simultaneously across the Data Analytics organization.
• Develop and maintain project plans, timelines, roadmaps, milestones, and deliverables.
• Track project performance against schedule, budget, scope, and quality objectives.
• Identify project risks, dependencies, and resource constraints and develop mitigation plans.
• Ensure projects follow established governance, reporting, and change management processes.
• Support prioritization efforts and help align project activities with departmental and organizational goals.
• Serve as the central point of coordination between business stakeholders, technical teams, leadership, and external partners.
• Facilitate project meetings, workshops, status reviews, and planning sessions.
• Prepare agendas, document decisions and action items, and ensure timely follow-up.
• Provide regular project updates and executive-level reporting on project health, risks, milestones, and key decisions.
• Foster strong working relationships across cross-functional teams.
• Coordinate activities with vendors, consultants, and third-party partners.
• Monitor vendor deliverables, commitments, and project timelines.
• Facilitate issue resolution and escalation when necessary.
• Ensure external partners remain aligned with business priorities and project objectives.
• Monitor project budgets, expenditures, and forecasts.
• Assist with resource planning and allocation across multiple projects.
• Track project staffing needs and help identify resource gaps or conflicts.
• Support leadership with project planning and investment decisions.
• Promote project management best practices and continuous improvement.
• Develop and maintain project templates, standards, and reporting mechanisms.
• Identify opportunities to improve project execution, communication, and collaboration.
• Support organizational change management and adoption efforts for new processes, tools, and technologies.
Requirements
• PMP, PMI-ACP, Certified Scrum Master (CSM), or equivalent project management certification.
• Experience supporting data analytics, business intelligence, reporting, data platform, or technology-related initiatives.
• Experience managing external vendors and consulting partners.
• Familiarity with Agile, Waterfall, and hybrid project delivery methodologies.
