Job Description

About the Role
Title:
Data Operations, Sr. Manager
Location:
Dallas, TX - Hybrid (3x in office/week)
Job Description:
Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.
About You:
You use
LOGIC
in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
INCLUSION
is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
You have the
GRIT
, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
You care deeply for your customers are driven to keep
HUMANITY
in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
Integrity guides you in life. Focusing on the
TRUTH
vs. giving people the answers they want to hear.
You thrive in a Team Environment. Collaboration is key in innovation and creating change.
These pillars of
LIGHT
are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this
LIGHT
, individuals can find their way to the best care, resources, and support they need to get back to life.
If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.
Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.
Data Operations, Sr. Manager
Reports to:
Director of Data
JOB OVERVIEW
We are seeking a hands-on, customer‑facing Data Operations Leader to oversee and mature our data operations function. This role combines technical depth with operational leadership—monitoring daily data workflows, working directly with healthcare clients, and partnering across Product, Analytics, Governance, and Engineering to deliver scalable, high‑quality data solutions.
The ideal candidate is comfortable using SQL, python, spark, and orchestration tools to triage operational issues, dig into file-level details, and improve reliability through automation. This candidate has experience creating tools to improve data observability, and documentation, as well as demonstrated experience utilizing AI to improve operational efficiency. This person acts as a “player‑coach” and will need to balance hands-on technical work, coaching the Data Operations team, and working directly with internal stakeholders.
Location
: Dallas, TX - Hybrid schedule (3x in office per week)
Responsibilities:
As the leader of the Data Operations Team:
Communication & Engagement
Partner with internal teams and external clients to align on data formats, specifications, and integration requirements. Provide clear explanations of healthcare file logic and proactively communicate issues, timelines, and resolutions to reduce escalations.
Operational Ownership & Responsiveness
Monitor daily data pipelines, alerts, and file transfers; triage and resolve issues quickly to maintain reliable operations. Take ownership of cross-functional issues, even when the root cause spans multiple teams, and ensure stakeholders are informed throughout.
Process Improvement & Automation
Identify manual steps in file processing, validation, and monitoring and replace them with automated, scalable solutions using Databricks, Python, and Azure tooling. Drive initiatives that reduce operational overhead and improve self-service, including automated QA, schema validation, and observability enhancements.
Monitoring, Data Quality & Observability
Implement and maintain robust monitoring to detect anomalies in inbound and outbound healthcare files, including 834/837 and flat file formats. Expand logging, alerting, and data quality frameworks to catch issues early and minimize client impact.
Technical Leadership
Provide hands-on leadership and coaching with SQL, data pipelines, and healthcare data structures—including reviewing notebooks, debugging SQL, validating transformations, and guiding root-cause investigations. Collaborate with Engineering, Cloud Infrastructure, and Governance on scalable architecture and DevOps/Data DevOps best practices.
Team Leadership & Coordination
Lead the Data Operations team through daily standups, clear prioritization, and coaching. Ensure runbooks, documentation, and onboarding materials are current, and support the team in resolving incidents and onboarding new data assets.
Requirements:
Education & Experience
Bachelor’s degree in Computer Science, Engineering, or a related field.
5+ years of experience in SQL with the ability to write complex queries.
3+ years of experience performing ETL and data engineering tasks.
3+ years of experience with Big Data technologies such as Databricks, Python, and Data Lakes.
Technical Skills
Proficiency in:
SQL
Azure Data Services (including Azure Data Factory)
Databricks
Python
Strong understanding of DevOps/Data DevOps concepts.
Experience with data observability tools and practices.
Familiarity with data quality frameworks and automation tools.
Healthcare Domain Experience
Experience with healthcare EDI formats (834, 837, etc.)
Understanding of eligibility, claims, accumulators, and healthcare reporting concepts
Familiarity with PHI handling, HIPAA considerations, and governance practices
Core Competencies
Ability to monitor, diagnose, and improve data observability and integrity
Capable of handling ad hoc data investigations and resolving complex issues
Strong documentation habits, including runbooks, specs, and process guides
Skilled at onboarding and validating new data feeds and assets
Strong analytical and problem-solving skills
Soft Skills & Intrinsics
Excellent communicator—able to translate technical concepts for clients and internal partners
Strong cross-functional collaborator with Product, Analytics, Governance, Engineering, and Infrastructure
Adaptability to evolving business models and healthcare needs
Customer-first mindset with the ability to engage confidently on client calls
Strong Candidates Will:
Have SQL/Python experience specific to healthcare data
Be comfortable acting as both an individual contributor and team leader (“player coach”)
Demonstrate experience improving operational reliability, automation, or observability
Value diversity, inclusion, and collaborative teamwork
Benefits
Medical Insurance
Dental Insurance
Vision Insurance
Short & Long Term Disability
Life Insurance
401k with company match
Paid Time Off
Paid Parental Leave
Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.