• Lead, manage, and train a team of data visualization engineers and professionals.
• Foster a culture of continuous learning, innovation, collaboration, and improvement.
• Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines.
• Provide mentorship and guidance to team members, cultivating a culture of accountability, collaboration, and growth.
• Contribute to the development of frameworks, methodologies, and tools that improve how the company designs and delivers reliable data assets.

• Develop and implement analytics engineering strategies aligned with business objectives with a focus on repeatable, scalable, and automated solutions.
• Ensure the accuracy, consistency, and reliability of all data assets.
• Collaborate with Data Engineering, Data Reporting, Data Analytics, and Advanced Analytics teams to ensure data pipelines, tools, and dashboards for robust reporting and analytics meet the needs of the business.
• Own and evolve the companies analytics engineering ecosystem, including shared ownership of dbt, Snowflake, and Looker.
• Define and enforce standards for modeling, testing, documentation, and version control in dbt and BI layers.
• Partner with stakeholders to establish and maintain a governed set of core metrics.
• Champion self-service enablement, ensuring teams can access reliable data without bottlenecks.
• Ensure data quality, integrity and compliance with industry standards and regulations and the companies Data Governance standards.
• Own the standardization of the companies metric layer to ensure consistent definitions across all BI tools and reports.

• Partner with business stakeholders and data teams, defining clear requirements, setting expectations, and communicating effectively and efficiently.
• Ensure business requirements are appropriately translated into technical specifications that clearly define the work.
• Present insights and recommendations to executives and other decision-makers.
• Establish and track objectives and key results (OKRs) to evaluate the effectiveness of strategic initiatives.
• Deliver analytics assets that reduce redundancy, accelerate time-to-insight, and promote consistency in metrics across the organization.

What We Need

• Bachelor’s degree in computer science, Information Systems, Data Engineering, Data Analytics, or a related field.
• 5+ years in a related data visualization or data engineering role.
• 2+ years of experience managing or mentoring a team or contractors.
• Advanced experience with dbt and Snowflake
• Advanced SQL knowledge, including writing complex queries, optimizing performance, and working with large datasets.
• Proven experience in developing and delivering within data visualization, reporting, or business intelligence.
• Excellent communication, with the ability to effectively convey technical concepts to non-technical audiences.
• Experience with project management practices and methodologies.
• Strong understanding of data modeling principles, with the ability to apply statistical and analytical techniques when appropriate.

Desired Qualifications

• Experience implementing dbt best practices (modular modeling, testing, documentation, CI/CD).
• Looker and Look ML Expertise
• Deep experience with semantic modeling and BI governance (LookML, Tableau, or equivalent).
• Proven success driving adoption of self-service BI while maintaining governance and trust in data.
• Proficiency in analytics tools such as Python (preferred), alongside SQL, Snowflake, and Looker.
• Strong understanding of data modeling, statistical analysis and data visualization.
• Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure).
• Expertise with relational and cloud-based database systems.

What You'll Need to Succeed

• Proven ability to lead and inspire teams in a fast-paced environment.
• Strong project management skills, with a track record of delivering complex projects on time and within scope.
• Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels.
• Excellent problem-solving and critical-thinking skills.
• Strong ability to translate analytical concepts into clear, compelling stories that resonate with both technical and non-technical audiences.

Base Salary Band: $129,700.00 - $185,400

Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description.

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PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at  patientpoint.com .

• Why is PatientPoint a Best Place to Work! Read More
• Teammate Honored as "Top Woman in Tech". Read More
• Recognized on Vault’s Top Internship List. Read More

We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates.