Waystar

Waystar

VP, Data Sciences

Lehi, UT · Vp

Sponsorship not specifiedDetected 35 days ago
PythonAlgorithmsSQLBigQuerySnowflakeRedshiftDatabricksAWSGCPAzureMachine LearningData AnalysisData EngineeringData ScienceData VisualizationStatisticsComplianceCustomer SupportHIPAALeadershipCommunicationCollaborationProblem SolvingMentoring

About the role

  • This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these systems are secure, efficient, and capable of supporting business objectives.
  • Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012.

Responsibilities

  • Strategic Leadership:** Defining and executing Waystar's overall data strategy, including data governance, data quality, data architecture, and data analytics roadmap to support business objectives.
  • Team Management & Development:** Building, mentoring, and leading a high-performing team of data engineers, data scientists, and data analysts, fostering a culture of innovation, collaboration, and continuous improvement.
  • Data Platform & Architecture:** Overseeing the design, development, and maintenance of scalable and robust data platforms, data warehouses, data lakes, and analytical tools. Evaluating and implementing new data technologies and solutions.
  • Demonstrated success in building and scaling data platforms and analytics capabilities from the ground up.
  • Exceptional leadership, communication, and interpersonal skills with the ability to influence and collaborate effectively with stakeholders at all levels.
  • Demonstrated ability to attract, develop, and retain top data talent.
  • Ability to navigate complex technical and business challenges and drive initiatives to successful completion.

Requirements

  • 10+ years of progressive experience in data management, data warehousing, business intelligence, and advanced analytics, with at least 5 years in a leadership role managing large teams.
  • Proven experience in defining and implementing data strategies and roadmaps in a complex organizational environment.

Nice to have

  • Master's degree or Ph.D. preferred.

Skills

  • Expertise in data modeling, ETL/ELT processes, and data warehousing concepts.
  • Proficiency with cloud data platforms (e.g., AWS, Azure, GCP) and related services (e.g., Redshift, Snowflake, BigQuery, Databricks).
  • Strong command of SQL, Python, or R for data manipulation and analysis.
  • Experience with business intelligence tools (e.g., Tableau, Power BI, Looker) and data visualization techniques.
  • Familiarity with machine learning frameworks and statistical modeling.
  • Leadership & Soft
  • Strong strategic thinking and problem-solving abilities, with a track record of delivering measurable business impact through data.
  • Experience in the healthcare technology or financial technology industry is a significant plus.
  • Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers.

Compensation

  • Competitive total rewards (base salary + bonus, if applicable)

Benefits

  • Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays.
  • We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • Education:** Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.

This listing is sourced directly from Waystar's careers page and normalized into a canonical job model.