Technical Scrum Master - Healthcare Data & AI

Technical Scrum Master - Healthcare Data & AI

Scrum Master I

Who We Are:

Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you'll create a boundless impact that transforms your career-and the lives of people across the world.

Visit us at UST.com.

You Are:

UST is searching for an experienced Technical Scrum Master with strong US healthcare domain experience and solid technical knowledge of AWS, data engineering, Databricks, and machine learning data pipelines.

The opportunity:

* Serve as the Scrum Master and Agile delivery leader for one or more technical data/AI teams

* Facilitate effective Sprint Planning, Daily Scrum, Backlog Refinement, Sprint Reviews, Retrospectives, and Agile ceremonies

* Partner with Product Owners to maintain a healthy, prioritized, and technically actionable backlog

* Ensure stories have clear acceptance criteria, dependencies, estimates, and appropriate technical detail before sprints

* Drive predictable sprint execution and continuously improve team velocity, quality, and delivery predictability

* Identify and proactively resolve impediments affecting team productivity and delivery

* Track and communicate sprint, release, milestone, dependency, and delivery risks

* Facilitate cross-team coordination where multiple data, application, infrastructure, or ML teams have dependencies

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What you need:

* 6+ years of experience in Agile/Scrum delivery with significant support for technical engineering teams

* 4+ years of experience working in the US healthcare industry (preferred/required)

* Proven experience working with data engineering, cloud, analytics, or AI/ML teams

* Strong understanding of Scrum and Agile methodologies

* Experience managing complex technical dependencies across multiple teams

* Strong understanding of AWS and cloud-based technology environments

* Working knowledge of data engineering and data pipeline architectures

* Working knowledge of Databricks, Spark/PySpark, SQL, or equivalent modern data engineering technologies

* Understanding of machine learning data pipelines and ML engineering workflows

* Experience working with technical teams consisting of Data Engineers, ML Engineers, DevOps Engineers, Architects, and technical SMEs

* Strong experience with Jira or equivalent Agile delivery platforms

* Strong stakeholder management and executive communication skills

* Demonstrated ability to identify, escalate, and drive resolution of technical and organizational impediments

* Strong analytical, problem-solving, facilitation, and communication skills

* Technical Knowledge & Skills Required

* AWS cloud fundamentals and enterprise architecture concepts (S3, IAM, compute, networking, monitoring, security services)

* Understanding of AWS-based application and data-platform dependencies

* Familiarity with cloud environments, deployment processes, and CI/CD

* Modern data engineering architectures and data pipelines

* Batch and streaming data-processing concepts

* Data ingestion, transformation, validation, data quality, orchestration, and downstream consumption

* Data lake/lakehouse architecture

* CI/CD, Git, automated testing, deployment pipelines, environment management, and release processes

* Production support, incident management, root-cause analysis, and operational readiness

* Healthcare fundamentals: clinical data, healthcare claims data, and business processes

* Healthcare-specific data quality, privacy, security, and regulatory considerations (PHI/PII, HIPAA)

* Preferred Qualifications

* Experience supporting enterprise healthcare data platforms

* Familiarity with Databricks and modern lakehouse architectures

* Familiarity with Unity Catalog, Delta Lake, and Apache Iceberg

* Familiarity with AWS data services and cloud security

* Familiarity with healthcare data standards (FHIR, HL7, X12/EDI, 835, 837, 834)

* Experience with Jira, Confluence, GitHub, Azure DevOps, or similar enterprise tools

* Scrum Master certification (CSM, PSM, or SAFe)

Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.

Role Location: Remote - US

Compensation Range: $80,000-$120,000

Benefits

Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company's 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.

Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) Retirement Plan with employer matching.

Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company's 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.

Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).

All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.

What we believe:

We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.

Humility:

We will listen, learn, be empathetic and help selflessly in our interactions with everyone.

Humanity:

Through business, we will better the lives of those less fortunate than ourselves.

Integrity:

We honor our commitments and act with responsibility in all our relationships.

Equal Employment Opportunity Statement

UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and "fair chance" ordinances.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

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Jira, Confluence, Scrum, Stakeholder Management, Data Engineering, HIPAA, AWS, Machine Learning