Eli Lilly and Company · 2 hours ago
Associate Director - Integrated Risk Data Engineer
Indianapolis, IN
Full-time
Onsite
Lead/Staff, Director/Executive
$124K/yr - $183K/yr
5+ years expEli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana. They are seeking an Integrated Risk Data Engineer who will be responsible for leading data architecture and engineering initiatives to enhance risk intelligence across the enterprise.
BiotechnologyHealth CareMedicalPharmaceutical
No H1B
Responsibilities
Lead the Microsoft Fabric architecture for IRM, defining standards, design patterns, and procedures that ensure scalable, maintainable, and high-performing data infrastructure across the risk ecosystem
Design, build, and maintain enterprise risk data pipelines using Microsoft Fabric with medallion architecture (bronze, silver, gold layers) that integrate data from multiple risk domains and enterprise systems
Architect and implement data engineering workflows using Fabric Data Factory, Synapse Data Engineering (Spark notebooks), and Dataflows Gen2 to consolidate fragmented risk data from ServiceNow GRC, SAP, Workday, SuccessFactors, assurance platforms, and other enterprise and function-specific systems
Design unified data models and Power BI semantic models that enable multi-functional risk analytics, ensuring data consistency, accuracy, and accessibility across all risk functions
Establish and lead the data governance framework for IRM, including data quality standards, validation rules, supervising processes, security protocols, and access controls that protect critical risk information while enabling appropriate data sharing
Serve as a key technical resource partnering with Analytics Developers, Architects, and Data Scientists to understand data requirements and deliver datasets that power dashboards, reports, predictive models, and risk assessments
Architect and build scalable, automated data solutions using Fabric pipelines and dataflows that reduce manual data preparation efforts and enable real-time or near-real-time risk monitoring capabilities
Optimize data pipeline performance using Fabric's compute resources and data storage options (Lakehouse, Data Warehouse) to ensure collaborators receive timely, accurate risk intelligence when decisions need to be made
Design and implement data observability and monitoring solutions that proactively identify and resolve data quality issues before they impact business decisions
Lead migration and integration initiatives as new risk technologies and platforms are adopted across the enterprise, independently owning project planning, solution architecture, and delivery
Independently respond to sophisticated data requests from risk functions, producing clean, well-documented datasets in Fabric Lakehouses and Data Warehouses that support risk assessments, audits, investigations, and critical initiatives
Anticipate and resolve complex data quality issues, working with source system owners and business partners to implement sustainable fixes that prevent recurrence
Define and maintain comprehensive documentation standards for data lineage, transformation logic, data dictionaries, and technical architecture that enable knowledge sharing and maintain institutional knowledge
Build strategic relationships with Tech@Lilly (IT), risk platform administrators, and business data owners to identify and resolve data integration challenges that impact the broader IRM function
Build and maintain strategic relationships with risk data owners, assurance function partners, and enterprise data teams to identify internal customer requirements and opportunities to improve data availability, quality, and integration
Lead standardization of data definitions, taxonomies, and integration patterns across risk functions, influencing technical decisions that enable more effective multi-functional analytics
Lead the upskilling of IRM team members and business partners in data engineering concepts, serving as an authority and contributing to data literacy across the organization
Know the latest on emerging data engineering technologies, practices, and tools, evaluating and applying relevant innovations to enhance Lilly's risk data capabilities
Qualification
Required
Bachelor's Degree in Computer Science, Information Systems, Data Engineering, or related field
5+ years of relevant professional experience in data engineering, ETL development, or data integration, with demonstrated progression in responsibility and complexity
Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role
Preferred
Sophisticated SQL skills and deep experience with both relational and non-relational database technologies
Demonstrated experience independently leading data engineering projects from planning through delivery, including architecture design and standards definition
Demonstrated ability to translate sophisticated business requirements into scalable technical data solutions with sound decision-making within functional guidelines
Solid understanding of Power BI data modeling, semantic model design, and optimizing datasets for analytical performance
Expert proficiency with Microsoft Fabric (preferred) or similar cloud data platforms (Azure Data Factory, Synapse Analytics, Databricks), with ability to define architecture standards and guidelines
Hands-on experience with Microsoft Fabric components including Data Factory, Synapse Data Engineering, Data Warehouse, Lakehouse, and Dataflows Gen2
Experience designing and implementing medallion architecture or similar layered data lake design patterns at enterprise scale
Experience with ServiceNow platform, ServiceNow GRC, or other governance, risk, and compliance systems
Proficiency in dimensional modeling, star schema design, and data warehouse concepts
Experience in pharmaceutical, healthcare, or highly regulated industries with complex data governance requirements
Background in risk management, audit, compliance, or assurance domain data
Familiarity with Power Platform integration (Power Automate, Power Apps) with Fabric
Strong problem-solving skills with ability to anticipate, diagnose, and resolve complex data integration challenges
Demonstrable ability to collaborate effectively with both technical teams and non-technical business collaborators, translating technical concepts into business language
Diligent with commitment to data quality and comprehensive documentation
Self-directed professional who works independently, takes initiative on sophisticated problems, and proactively sees opportunities for improvement
Demonstrated strong motivation, rapid learning agility, and growth mindset
Benefits
Company bonus (depending, in part, on company and individual performance)
Eligibility to participate in a company-sponsored 401(k)
Pension
Vacation benefits
Eligibility for medical, dental, vision and prescription drug benefits
Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
Life insurance and death benefits
Certain time off and leave of absence benefits
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
Eli Lilly and Company
We're a medicine company turning science into healing to make life better for people around the world.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6.5M2024-02-12Post Ipo Debt· $6.5M
1978-01-13IPO
Leadership Team
David Ricks
Chair, CEO
Lucas Montarce
Executive Vice President and Chief Financial Officer
Recent News
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