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Jobs · Information Technology · Texas

Data Operations, Sr. Manager

Lantern · Dallas, TX · 3 wk ago
Information TechnologyFull-time

About the role

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.

Job Overview

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

  • 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

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Short & Long Term Disability
  • Life Insurance
  • 401k with company match
  • Paid Time Off
  • Paid Parental Leave

Company Information

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.

Application Instructions

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.

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