Technical Project Lead - Data and Analytics

Accountabilities:: Project leadership: Lead data and analytics projects from initiation through delivery, managing scope, schedules, resources, budgets, and risks to achieve successful outcomes. Team leadership: Provide direction, coaching, and support to cross-functional project teams, encouraging collaboration, accountability, and professional development. Client engagement: Build strong client relationships, understand business objectives, facilitate discussions, and provide strategic guidance on analytics solutions. Business analysis: Gather, evaluate, and clarify business requirements through stakeholder interviews, process reviews, and structured analysis to establish project goals and solution needs. Requirements translation: Convert business needs into clear functional requirements, user stories, and technical specifications to guide solution design and development. Solution oversight: Coordinate solution design and implementation, ensuring technical approaches align with business objectives, quality standards, and end-user expectations. Data integration: Oversee coordination of data from multiple sources, ensuring accuracy, consistency, and readiness for reporting and analysis. Dashboard and report delivery: Guide the development of intuitive, visually effective dashboards and reports that address client requirements and support informed decision-making. Training and adoption: Facilitate knowledge transfer, user training, and ongoing support to help clients adopt and use delivered solutions effectively. Quality assurance: Review project deliverables for accuracy, completeness, and quality, resolving issues and ensuring alignment with agreed project standards. Stakeholder communication: Maintain clear communication between business stakeholders, technical teams, and clients, providing updates on project progress, risks, decisions, and outcomes. Industry and technology awareness: Stay current with developments in data analytics, business intelligence, and the Microsoft ecosystem to inform project delivery and strategic recommendations. Continuous improvement: Identify opportunities to improve project processes, solution effectiveness, and client outcomes through practical recommendations and lessons learned. Requirements: Bachelor's degree from an accredited university. At least 3 years of project management experience, including direct experience managing projects using the Microsoft Data Stack, particularly Power BI. Demonstrated project management capabilities and a track record of successfully delivering projects on time and within agreed scope. Strong leadership skills and experience guiding project teams, coordinating resources, and maintaining accountability. Excellent communication, interpersonal, and client relationship management skills, with the ability to collaborate effectively across technical and business teams. Experience gathering, analyzing, and translating business requirements into actionable project plans and technical specifications. Proficiency in data analysis, database queries such as SQL, and data visualization tools such as Power BI or Tableau. Strong understanding of business processes, project management methodologies, and IT delivery approaches, including Agile. Ability to connect technical solutions with business objectives and communicate complex information clearly to diverse stakeholders. Strong organizational, analytical, problem-solving, and decision-making skills, with the ability to manage multiple priorities. A proactive, self-motivated approach and commitment to continuous learning and staying current with industry trends. Preferred Qualifications: Project management certifications such as PMP, CAPM, or CSM. Microsoft or data analytics certifications, particularly in Power BI, Microsoft Fabric, Azure, or related technologies. Previous experience in consulting or client-facing data and analytics delivery environments. Benefits: Fully remote work: Flexibility to work remotely from any location in the United States. Team experiences: Quarterly in-person team gatherings to encourage collaboration and connection. Competitive compensation: Competitive pay, with specific salary details not disclosed in the provided job description. Unlimited time off: Flexible paid time off to support work-life balance. Comprehensive healthcare: 100% covered health insurance, including medical, dental, and vision plans for employees and their families. Retirement savings: 401(k) plan with a 4% employer match. Professional development: Clear career growth opportunities and educational assistance to support continued learning. Technology support: Technology stipend to support your work. Additional perks: Discounts on a range of goods and services. Supportive culture: An environment that values growth, humility, empathetic communication, teamwork, and a solutions-oriented mindset. Meaningful client impact: Opportunities to deliver analytics and AI solutions that help organizations make better business decisions.