Sr. Director – Corporate Audit Services Data Analytics and Automation Strategy At Lilly, we unite caring with discovery to make life better for people around the world. 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.

Corporate Audit Services (CAS) is an independent and objective auditing and consulting function dedicated to enhancing operational efficiency across Eli Lilly and Company. CAS supports the organization’s strategic goals by evaluating and improving risk management, control, and governance processes through a disciplined and methodical approach.

The Senior Director of Data Analytics, Automation, and Strategy plays a pivotal role in advancing CAS’s capabilities in data‑driven auditing and enterprise assurance. This leader will drive innovation through analytics, automation, and emerging technologies such as generative AI, while fostering collaboration across assurance functions such as Ethics and Compliance, Integrated Risk Management, and Global Quality.

Data Analytics and Automation Strategy

Lead the vision, strategy, and implementation of data analytics, automation, artificial intelligence, and other technical solutions to strengthen the company’s risk and control environment.

Define and enforce development standards, prioritization criteria, and processes to guide team projects and ensure alignment with organizational objectives.

Innovate and implement strategies to acquire and utilize data in the audit process, enhancing internal audit efficiency and productivity.

Leverage analytics and automation tools to optimize internal controls testing and enable continuous audit and monitoring programs.

Conduct comprehensive analysis of large data sets to identify anomalies, outliers, and patterns that assess the effectiveness of internal controls.

Develop and present insightful reports and visual dashboards that integrate quantitative and qualitative data from enterprise assurance functions.

Foster collaboration with other data analytics teams and identify opportunities to leverage existing analytics mechanisms in audit engagements.

Cultivate expertise in key enterprise data sources and lineage to derive meaningful audit analytics results.

Collaborate with business and technology stakeholders to stay informed of changes in data architecture and identify new data sources for analytics.

Seek external perspectives on processes and technologies to enhance Lilly’s capabilities in data access, utilization, and automation.

Project Management and Audit Support

Ensure successful and timely execution of data analytics‑related and other audit activities throughout the audit cycle.

Contribute to the development of streamlined engagement strategies, including clearly defined scopes, fieldwork approaches, and work programs.

Provide direction and support in crafting ad‑hoc and continuous monitoring reports.

Collaborate with Internal Audit leadership to identify key performance indicators and analytics use cases that enhance audit processes and value.

Demonstrate proficiency in internal audit and risk assessment processes, identifying opportunities to improve efficiency through analytics tools or new technologies.

Utilize data analytics tools and advanced techniques for data preparation, analysis, and visualization to support audit projects.

Fulfill data analytics requests from auditors, including data extractions using business intelligence tools and programming software.

Conduct ongoing assessments of CAS’s analytics needs, capabilities, and tools, recommending enhancements as needed.

Leadership and Coaching

Lead a high‑performing team of data analytics and automation professionals, responsible for delivering analytics‑driven solutions that support CAS’s risk assessments, fraud detection, and audit engagements.

Serve as a mentor and coach, developing team capabilities in advanced analytics, automation, and assurance methodologies.

Foster a culture of innovation, continuous improvement, and collaboration, encouraging the adoption of emerging technologies such as generative AI to enhance audit effectiveness.

Promote cross‑functional collaboration by building strong partnerships with internal audit colleagues and enterprise stakeholders across assurance functions.

Lead efforts to upskill the broader CAS organization in data analytics and automation by sharing knowledge, offering training opportunities, and enabling all internal audit team members to adopt tools and techniques that enhance decision‑making and operational efficiency.

Basic Qualifications

Bachelor’s Degree in an IT‑related field (Information Systems, Computer Science, Business Analytics, Engineering, etc.).

Minimum requirement of 6 years in progressive experience driving business outcomes through innovative IT/Data solutions.

Proven expertise in Power BI, including semantic modeling, DAX, Power Query, and advanced visualization techniques.

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.

Additional Preferences

Proven expertise in Microsoft Fabric.

Demonstrated ability to gather requirements and lead successful implementation of complex processes, systems, and capabilities.

Previous audit experience with strong understanding of audit process automation design and implementation.

Demonstrated strong teamwork, communication, leadership, and influence skills.

Experience in cross‑functional collaboration.

Excellent communication and listening skills with the ability to interact effectively with all levels of management.

Ability to translate ambiguity and complexity into a meaningful, actionable framework.

Willingness to challenge and speak up.

Ability to effectively lead and drive change.

Strong design sense and familiarity with UX/UI best practices in data presentation.

Experience with Data Engineering and Data Architecture concepts and best practices.

Experience with working with data from ServiceNow, Veeva, Workday, SAP, and other enterprise platforms.

Understanding of Robotics Process Automation (RPA), Artificial Intelligence (AI), and other analytics tools and technologies.

Practical experience with internal control standards and control testing strategies.

Location

Lilly Corporate Center

Travel 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 ( https://careers.lilly.com/us/en/workplace-accommodation ) 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 is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.

Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $154,500 - $239,800.

Full‑time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well‑being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities). Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.

#WeAreLilly

#J-18808-Ljbffr