McKesson
Healthcare
LeadDataEngineer–Operations(KTLO),DecisionIntelligence
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“Lead Data Engineer – Operations (KTLO), Decision Intelligence at McKesson. Skills: Data Engineering, KTLO, Platform Operations, Cloud Data Platforms. Lead day-to-day operations of platforms. Ensure platform reliability, performance, SLA compliance”
What You'll Achieve.
Ensure platform stability; SLA-driven support; Service request fulfillment; Continuous improvement; Drive outcomes
Industry & Context.
Troubleshoot; Root cause analysis; Analyze and model structured data
What They're Looking For.
Must Have
Degree or equivalent and typically requires 10+ years of relevant experience, Proven depth of experience delivering and supporting enterprise-scale data engineering solutions in production environments, Extensive hands-on expertise with Databricks, Snowflake, Azure Data Factory, PySpark, analytical SQL, and modern cloud data platforms, experience with data visualization and analytics consumption tools such as Power BI, Working knowledge of SAP ecosystems and legacy technologies including SQL Server, IBM DataStage, and Unix scripting, Demonstrated ownership of production platforms and KTLO operations in SLA-driven environments, understanding of data architecture, data modeling, data governance, metadata, and lineage, Experience analyzing and modeling structured data using statistical, mathematical, or data-mining techniques, Familiarity with enterprise infrastructure concepts including SaaS, PaaS, IaaS, and Infrastructure as Code (IaC) approaches, troubleshooting, monitoring, and performance-tuning skills across data platforms and analytical services, Ability to influence architecture and technical direction without formal people management responsibility, Excellent communication and stakeholder management skills, with the ability to explain complex concepts clearly, Demonstrated ability to independently drive outcomes while operating under consultative direction
Nice to Have
Experience supporting Decision Intelligence, Distribution, or PSaS business domains, Exposure to Splunk, Alation, or data observability and cataloging tools, Experience operating in highly regulated, complex enterprise environments, documentation, data stewardship, and operational excellence mindset
What You'll Do.
Lead day-to-day operations of platforms
Ensure platform reliability
Own KTLO responsibilities
Manage incidents and root cause analysis
Execute service requests and minor enhancements
Support data exploration and analysis
Define and govern data definitions
Ensure high data quality
Reduce technical debt
automation-first solutions
Build and support batch and real-time data pipelines
Implement data governance practices
performance-tune platforms and pipelines
Communicate platform health
Coordinate delivery across teams and partners
How You'll Work.
Team & Collaboration
Partner with Data Engineers, Data Scientists, Architects, Program Managers; Collaborate across Agile teams; Implement data governance in partnership with business stakeholders; Coordinate delivery across internal teams, external partners, multi-shore resources
Communication Scope
Excellent communication; Stakeholder management; Explain complex concepts clearly
Full Job Description
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. ## **Job Title** **Lead Data Engineer – Operations (KTLO), Decision Intelligence** ## **Summary** The PSaS Decision Intelligence (DI) Data Architecture & Engineering team is seeking a technically strong and operationally focused Lead Data Engineer to own the day‑to‑day operations of our enterprise Data & Analytics platforms. This role is centered on **KTLO (Keep the Lights On)** ownership—ensuring platform stability, SLA‑driven support, service request fulfillment, and continuous improvement across both modern and legacy data ecosystems. The role combines deep technical expertise with operational leadership and close partnership with data, analytics, and business stakeholders. ## **What You’ll Do** * Lead day‑to‑day operations of PSaS Data & Analytics platforms, ensuring platform reliability, performance, and SLA compliance * Own KTLO responsibilities including incident management, root cause analysis, service request execution, and minor enhancements * Partner with Data Engineers, Data Scientists, Architects, and Program Managers to design, support, and maintain enterprise data solutions * Support data exploration and analysis activities, including requirements assessment, data source identification, and exploratory research * Define, maintain, and govern data definitions, business rules, metadata, and lineage * Ensure high data quality through validation, monitor
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