Bu Master Data Associate Director

At Lilly we unite caring with discovery to make life better for people around the world We are a global healthcare leader headquartered in Indianapolis Indiana Our employees around the world work to discover and bring life-changing medicines to those who need them improve the understanding and management of disease and give back to our communities through philanthropy and volunteerism We give our best effort to our work and we put people first We re looking for people who are determined to make life better for people around the world About the Tech Lilly Organization Tech Lilly builds and maintains capabilities using cutting edge technologies like most prominent tech companies What differentiates Tech Lilly is that we create new possibilities through tech to advance our purpose - creating medicines that make life better for people around the world like data driven drug discovery and connected clinical trials We hire the best technology professionals from a variety of backgrounds so they can bring an assortment of knowledge skills and diverse thinking to deliver innovative solutions in every area of the enterprise About the Business Function Tech Lilly Business Units is a global organization strategically positioned so that through information and technology leadership and solutions we create meaningful connections and remarkable experiences so people feel genuinely cared for The Business Unit organization is accountable for designing developing and supporting commercial or customer engagement services and capabilities that span multiple Business Units Bio-Medicines Diabetes Oncology International functions geographies and digital channels The areas supported by Business Unit includes Customer Operations Marketing and Commercial Operations Medical Affairs Market Research Pricing Reimbursement and Access Customer Support Programs Digital Production and Distribution Global Patient Outcomes and Real-World Evidence Job Title BU Master Data Associate Director - Dev Associate Director is responsible for leading scaling and optimizing the data engineering and operational functions of an organization This role oversees the development and support of data pipelines products infrastructure and automation to ensure reliable secure and efficient data delivery The Associate Director collaborates with cross-functional teams to drive operational excellence enhance incident response and implement AI-enabled solutions for proactive issue resolution This role requires deep expertise in data platforms people leadership process transformation and the ability to communicate KPIs and strategic insights to senior leadership The Associate Director is also accountable for developing high-performing teams enabling data-driven decision-making and ensuring enterprise data systems are aligned with evolving business priorities What you ll be doing Lead and scale a global Data Engineering Operations team fostering a culture of accountability innovation and continuous improvement Drive operational excellence by establishing best practices for data pipeline monitoring automation and incident management using AI ML-enabled observability tools Oversee data infrastructure and workflows ensuring performance scalability security and compliance across cloud platforms AWS GCP Azure Define and track KPIs for data availability quality reliability and incident resolution present key metrics and insights to senior leadership regularly Enable automation-first culture by reducing repetitive incidents and streamlining issue resolution processes through smart alerting auto-remediation and orchestration enhancements Collaborate with cross-functional teams data engineers analysts product platform and governance teams to align operational priorities with enterprise data strategy Ensure effective SLA adherence capacity planning change management and risk mitigation across all critical data services Mentor and grow talent within the team conducting regular performance reviews skill development planning and succession pipeline development Stay current with trends in AI for IT operations AIOps SRE practices and emerging technologies to future-proof data operations How You Will Succeed Leadership Vision Inspire and guide a high-performing team by setting clear goals fostering accountability and creating a culture of continuous improvement Operational Excellence Establish reliable scalable and efficient operational processes for monitoring alerting and incident response focusing on SLAs SLOs and data uptime AI-Enabled Optimization Proactively identify repetitive incidents and leverage AIOps machine learning and automation to improve root cause analysis reduce MTTR and prevent recurrence Cross-Functional Collaboration Build strong partnerships with product platform and analytics teams to align operational priorities with business goals and data strategy Strategic Communication Translate operational KPIs risk metrics and platform health insights into executive-ready updates that support strategic decisions Quality Compliance Focus Champion data quality lifecycle management and regulatory compliance e g HIPAA GDPR within operational processes Innovation Scalability Continuously evaluate tools frameworks and industry best practices to future-proof the data ecosystem and scale operations efficiently What You should Bring Technical Expertise Proven knowledge of data pipelines ETL ELT frameworks orchestration tools e g Airflow Control-M cloud platforms AWS Azure GCP and big data technologies Spark Databricks Redshift etc Operational Mindset Strong grasp of data SLAs SLOs incident response frameworks observability tools e g Datadog Grafana and performance tuning in large-scale environments AI Automation Focus Understanding of AIOps or automation tools and the ability to identify opportunities to apply AI for root cause prediction cost optimization and reducing manual workload People Process Skills Proven ability to lead diverse technical teams mentor talent and implement scalable processes for reliability quality and compliance Strategic Communication Ability to articulate complex operational metrics and trends to senior leadership in business-relevant language Basic Qualifications and Experience Requirement Bachelor s or Master s degree in Computer Science Information Systems Data Engineering or a related field 12 years of experience in data engineering platform operations or data infrastructure roles Minimum 3 years of experience leading technical teams or managing global data operations Hands-on expertise with data engineering tools e g Spark Databricks Snowflake orchestration platforms e g Airflow Control-M and cloud services AWS Azure or GCP Strong understanding of data integration data quality observability and monitoring at enterprise scale Demonstrated experience in managing SLAs SLOs resolving production issues and driving automation to reduce operational overhead Exposure to AIOps or data operations automation practices is a strong plus Strong communication skills and experience presenting metrics KPIs and strategic updates to senior leadership Additional Skills Preferences Domain experience in healthcare pharmaceutical Customer Master Product Master Alignment Master Activity Consent etc or regulated industries is a plus Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutions as well as delivery AWS Certified Data Engineer - Associate Databricks Certified Data Engineer Associate or Professional AWS Certified Architect Associate or Professional Familiarity with AI ML workflows and integrating machine learning models into data pipelines Additional Information N A Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce ensuring equal opportunities when vying for positions If you require accommodation to submit a resume for a position at Lilly please complete the accommodation request form for further assistance Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response Lilly does not discriminate on the basis of age race color religion gender sexual orientation gender identity gender expression national origin protected veteran status disability or any other legally protected status WeAreLilly