• Lead remote, cross-functional teams of up to 20 individuals• Monitor and mitigate project risks and issues, ensure proper resource allocation, and manage changes in project scope, schedule, and cost• Collaborate with other project teams and stakeholders from a variety of technical and non-technical disciplines• Proactively identify ways to modernize legacy processes and products by using advanced analytics and automation• Establish trusted client relationships, from executives to end users, through effective communication, managing expectations, and ensuring work products are aligned with organizational goals and strategies• Organize and facilitate workshops throughout the software development lifecycle to refine business understanding and requirements, build consensus on designs, and generate robust design artifacts• Lead internal consulting skill development efforts and mentor employees as the Consulting Discipline Lead within Voyatek’s Analytics and AI practice

• Led design and development of data-driven solutions that incorporated machine learning, predictive analytics, and business intelligence tools (primarily using SQL, Cognos, and Tableau)• Managed cross-functional teams of up to 20 individuals comprising ETL developers, data scientists, and fraud analysts• Collaborated with stakeholders across enterprise functions to establish project priorities and strategies• Developed and presented data-driven material to articulate business value and obtain stakeholder buy-in at all levels• Contributed to business development activities by developing marketing collateral and supporting proposal development

• Conducted exploratory analyses on large-scale government data sources• Built SQL data pipelines to ingest and prepare data for predictive modeling and downstream analytic processes for tax return processing• Developed business intelligence tools and dashboards with to improve the quality and speed of decision-making at various levels of an enterprise • Communicated findings and recommendations to colleagues, supervisors, and clients verbally and in writing

• Obtained data and interviewed clients to inform business understanding and solution development • Conducted qualitative and quantitative research and analysis of customer data using SAS and SQL• Contributed to project deliverables, including case studies, reports, presentations, and training materials• Supported senior level staff, including notetaking, scheduling, distribution of materials, document management, etc.