Data Advisor (R-5)

Initial Therapeutics, Inc.; Indianapolis (IN); On-site; USD 154,149 - 197,600; Full time

Benefits offered by this job

Company bonus

Comprehensive benefits program

Job summary

Eli Lilly and Company is seeking a Data Advisor in Indianapolis, IN to define and design the data and analytics architecture for the IAPI Manufacturing Site. This pivotal role will lead data planning and modeling, providing expertise in enterprise data domains.

The ideal candidate will have over 10 years of experience in data architecture, specifically in the pharmaceutical manufacturing sector, along with proficiency in various data tools. The position offers a competitive salary and comprehensive benefits.

Qualifications

• 10+ years of progressively responsible experience in data and analytics architecture in the pharmaceutical industry.
• Experience with large-scale data models for functional, operational, and analytical environments.
• Familiarity with project management methodologies like Scrum, Kanban, or SAFe.

Responsibilities

• Define, design, and maintain data and analytics architecture for the IAPI Manufacturing Site.
• Lead data planning, modeling, and lifecycle design.
• Provide expertise in enterprise data domains and advanced analytics capabilities.

Skills

Data modeling

Project management

Statistical methods

SQL Developer

DBeaver

TOAD

Denodo

Education

Bachelor’s degree in Computer Science, IT, or related STEM field

Tools

SQL Developer

DBeaver

TOAD

Denodo

Job description

Position Summary

Eli Lilly and Company seeks a Data Advisor (R-5) to define, design, build, and maintain the data and analytics architecture, vision, strategy, and principles for the IAPI Manufacturing Site. The role sets data and information strategy, leads data planning and modeling, designs data lifecycle, and provides expertise in enterprise data domains. The Data Advisor partners with global functions to explore and deploy advanced analytics capabilities, continuously scans the technology environment for new trends, and synthesizes scalable approaches for data integration. The role drives the structure to enable self‑service analytics, ensuring operational sustainability and agility for the business.

Key Responsibilities

• Define, design, and maintain data and analytics architecture for the IAPI Manufacturing Site.
• Lead data planning, modeling, and data lifecycle design.
• Provide expertise in enterprise data domains and advanced analytics capabilities.
• Scan technology trends and propose scalable data integration solutions.
• Drive self‑service analytics to enable business agility while ensuring operational sustainability.
• Set overall strategy and direction for the Tech@Lilly organization.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related STEM field.
• 10+ years of progressively responsible experience designing, building, and maintaining data and analytics architecture in the pharmaceutical manufacturing industry.
• Minimum 10 years experience designing large‑scale data models for functional, operational, and analytical environments.
• Minimum 10 years experience with formal project management methodologies and agile frameworks, including Scrum, Kanban, or SAFe.
• Minimum 10 years experience with data modeling.
• Minimum 10 years experience with data tools including SQL Developer, DBeaver, TOAD, and Denodo.
• Minimum 7 years experience in at least two of the following disciplines: statistical methods, data modeling, ontology development, semantic graphic construction, linked data, or relational schema design.
• Up to 10% domestic and international travel may be required.

Location

Indianapolis, IN.

Compensation

Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is $154,149.00 – $197,600.00 per year. Full‑time equivalent employees are also eligible for a company bonus and a comprehensive benefits program.

Employment Practices

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.