AVP, Data Engineering

Ensemble Health Partners • Fort Smith, AR

1d • Remote

About The Position

Thank you for considering a career at Ensemble! Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country. Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference! O.N.E Purpose: Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations. Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation. Striving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results. The Opportunity: As the AVP of Data Engineering, you will own and evolve Ensemble’s enterprise data platform and data product strategy to enable analytics at scale and establish a strong foundation for AI‑driven capabilities across the organization. You will lead the design and execution of a cloud‑native data platform built on Azure and Databricks, enabling trusted, governed, and reusable data products that accelerate insight generation, operational automation, and emerging AI use cases. This role is responsible for translating business and product strategy into scalable data platform capabilities — ensuring data is AI‑ready, secure, observable, cost‑efficient, and consumable by analytics, product, and machine learning teams. Success in this role will be measured by platform adoption, data trust, delivery velocity, and the organization’s readiness to operationalize AI.

Requirements

• 10+ years of leadership and technology related experience
• Masters Degree or Equivalent Experience
• 10+ years of coding experience with ANSI SQL.
• 3+ years working with big data technologies including but not limited to Databricks, SPARK, Azure, Power BI, with a willingness and ability to learn new ones
• Excellent understanding of engineering fundamentals: testing automation, code reviews, telemetry, iterative delivery and DevOps
• Experience with polyglot storage architectures including relational, columnar, key-value, graph or equivalent
• Demonstrated ability to communicate effectively to both technical and non-technical, globally distributed audiences
• Solid foundations in formal architecture, design patterns and best practices
• Experience designing data platforms that support AI/ML, advanced analytics, or intelligent automation workloads.
• Deep experience with Azure cloud services and Databricks, including Spark‑based data engineering patterns.
• Proven ability to translate business and clinical domain needs into scalable data solutions.
• This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.

Nice To Haves

• Experience operating data platforms in regulated or healthcare environments (HIPAA, PHI, data privacy) strongly preferred.

Responsibilities

• AI & Advanced Analytics Enablement Establish and evolve a data platform architecture that enables AI, machine learning, and advanced analytics workloads , including feature readiness, training data quality, lineage, and observability.
• Partner with Data Science, Analytics, Product, and Cloud teams to ensure data platforms support model development, deployment, and monitoring without creating operational or governance risk.
• Define and enforce AI‑ready data standards , including data quality thresholds, metadata, schema stability, timeliness, and explainability requirements.
• Data Products & Platform Enablement Treat enterprise datasets as data products , with clear ownership, quality guarantees, documentation, and usage metrics.
• Build and evangelize a reusable data product layer that enables self‑service analytics and accelerates downstream innovation.
• Define platform‑level KPIs (adoption, reliability, cost efficiency, time‑to‑data) and continuously improve based on measurable outcomes.

Benefits

• Associate Benefits – We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
• Growth – We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
• Recognition – We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees