Highspring

Highspring

Senior Manager, Data & Analytics

McLean, VA · Senior

Sponsorship not specified$162k-$256kDetected 60 days ago
PythonGitSQLMachine LearningData AnalysisData EngineeringData VisualizationNLPStatisticsAccountingM&AProcess ImprovementLeadershipCommunicationCollaborationProblem SolvingMentoringPublic Speaking

About the role

  • Work side by side with business leaders to solve complex client challenges and make a true impact.
  • The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation.
  • You Are You are a team-builder and problem-solver.

Responsibilities

  • Design and build modern data warehouses and analytics-ready data models
  • Develop scalable, reliable data pipelines using cloud-based data platforms
  • Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders
  • Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions
  • Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines
  • Present findings, recommendations, and solution designs to both technical and non-technical audiences
  • Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code
  • Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts
  • Perform in a leadership and Solution Architect role, helping with shaping the strategic direction of our growing AI/ML, automation, and Data Analytics practice.
  • Deliver on projects in the areas of data management, data governance, dashboard monitoring, DQ dashboards, data controls, data lineage, and data mapping.

Requirements

  • 5+ years of data analytics, AI, ML, or GenAI experience
  • Experience programming in Python, SQL, and/or R.
  • Experience using GitHub (e.g., source code management).

Skills

  • Experience presenting to CXO suite.
  • Industry experience within Financial Services, Technology/SaaS, and/or Supply Chain.
  • Understanding of typical software development lifecycles (Waterfall and Agile) and their associated lifecycle artifacts.
  • Experience with identifying and correcting problems in imperfect data and processes.
  • Flexibility to accommodate travel up to 25%.

Compensation

  • $162,415 - $256,356 USD

Benefits

  • Investment in your learning: Budget for certifications, training programs, and conference attendance.
  • The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.
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