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Data Taxonomy Jobs in Indiana (NOW HIRING)

... sites, taxonomy, design packages and building B2B sites Practical experience with the following ... in DB data structure definition Desired years of experience : 6 to 9 years Education ...

$85K - $110K/yr

Monitor MarTech standards, develop taxonomy, and create dashboards to facilitate data-driven decisions and ensure alignment with industry best practices * Drive the localization of global MarTech ...

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Data Taxonomy information

What are some typical challenges faced when developing and maintaining a data taxonomy within an organization?

One common challenge when working in data taxonomy is ensuring consistency across different departments that may use varied terminology or classification standards. Data taxonomists often need to facilitate collaboration between stakeholders to agree on definitions and structures, which requires strong communication and negotiation skills. Another challenge is keeping the taxonomy up-to-date as business needs and data sources evolve, necessitating regular reviews and updates. Successfully navigating these issues helps improve data discoverability, governance, and overall business intelligence.

What are the key skills and qualifications needed to thrive as a data taxonomist, and why are they important?

To thrive as a Data Taxonomist, you need a strong background in information science, data organization, and metadata management, often supported by a degree in library science, information systems, or a related field. Familiarity with taxonomy management tools, data modeling software, and standards such as SKOS or RDF is commonly required. Attention to detail, analytical thinking, and effective communication are essential soft skills for collaborating across teams and ensuring data consistency. These skills and qualifications are crucial for creating structured data frameworks that improve data discoverability, usability, and governance.

What is the difference between Data Taxonomy vs Data Analyst?

AspectData TaxonomyData Analyst
Primary FocusOrganizing and classifying data structuresAnalyzing data to extract insights
Skills & CertificationsData modeling, taxonomy development, data management certificationsStatistical analysis, SQL, data visualization skills
Work EnvironmentData management teams, data governance departmentsBusiness units, analytics teams
Industry UsageData governance, information architectureBusiness intelligence, reporting

Data Taxonomy involves creating structured classifications for data assets, ensuring consistency and clarity across systems. Data Analysts focus on interpreting data to support decision-making. While both roles work with data, Data Taxonomy emphasizes data organization, whereas Data Analysts analyze data for insights.

How to become a data taxonomist?

To become a data taxonomist, develop skills in data management, classification, and metadata standards, often through a degree in information science, computer science, or related fields. Gaining experience with data modeling tools, taxonomy development, and understanding domain-specific knowledge is essential, along with familiarity with data governance and relevant software such as Protégé or Excel.

What does a data taxonomy specialist do?

A data taxonomy specialist develops and maintains structured classifications of data within an organization to improve data organization, searchability, and governance. They analyze data assets, create standardized naming conventions, and often use tools like metadata management systems to ensure consistent data categorization across systems.

What skills are needed for data taxonomy?

Data taxonomy professionals need strong analytical skills to categorize and organize data effectively, along with knowledge of data management principles and metadata standards. Familiarity with data modeling tools, taxonomy development, and understanding of business context are also important. Proficiency in tools like Excel, SQL, or specialized taxonomy software can enhance performance.

What are popular job titles related to Data Taxonomy jobs in Indiana?

For Data Taxonomy jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Data Taxonomy jobs?

Cities in Indiana with the most Data Taxonomy job openings:

Infographic showing various Data Taxonomy job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Associate Director, Digital Knowledge Management & Data Strategy - SDnA

100 Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. 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. Associate Director, Digital Knowledge Management & Data Strategy - Statistics, Data & Analytics Position Overview We are seeking an experienced Knowledge Management (KM) professional to lead data and knowledge initiatives within our global Statistics, Data & Analytics (SDnA) organization. This role will design and implement forward-thinking systems to collect, organize, and connect technical knowledge across functions, regions, and clinical development stages. It will also transform fragmented process documentation, procedures, and historical knowledge into a structured, searchable, dynamic knowledge repository with supporting systems and processes. Ultimately, this position will enhance efficiency, strengthen consistency, and reduce risk by making critical knowledge readily accessible to all employees within the organization. Key Responsibilities Own the multi-year strategy for how SDnA captures, curates, and shares its collective knowledge. Design and implement modern, queryable, AI‐navigable systems on enterprise platforms that support easy internal access and secure collaboration. Build or optimize a centralized knowledge system for statistical, data management, and analytics resources. Apply enterprise platforms and best practices to ensure that procedures, process maps, and supporting materials are searchable by global teams. Develop a domain ontology and process maps that reflect current SDnA workflows and information architecture. Honor study lifecycle sequence, functional ownership, and regulatory constraints. Apply the appropriate technical tools (e.g., coding, automation, low‐code platforms, visualization software) to categorize knowledge assets, surface redundancies, map processes, and identify gaps. Set the standards for how knowledge is created, tagged, versioned, and retired. Establish the taxonomy and content lifecycle model, and design automated quality checks that keep content clean, concise, accurate, and compliant as the organization changes. Lead change management to drive adoption of new systems and practices. Develop training programs, user guides, and support resources. Champion a culture of knowledge‐sharing through regular communication and leadership support. Work closely with statistics, data management, programming, regulatory, IT, and quality partners to align the system with business needs. Coordinate technical integrations and gather feedback from subject‐matter experts to continuously improve the system. Monitor usage metrics and key performance indicators (e.g., most‐accessed topics, search query success rates, content most in need of refresh, accuracy of content). Identify opportunities to improve efficiency and consistency, and maintain a vision for scaling knowledge management systems as the organization evolves. Minimum Qualification Requirements Demonstrated record of building scalable knowledge systems, drafting and implementing standards and procedures, and driving organizational adoption. Experience in knowledge management, information management, or data/analytics operations, with a focus on implementing KM systems. Bachelor's degree. Advanced degree is a plus. 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. Pharmaceutical or comparably regulated industry experience (roughly 5 years), including approximately 3 years in a KM‐focused role. Domain Knowledge: Understanding of the clinical data and analysis lifecycle and of the documents, workflows, and terminology used across them. This includes (but is not limited to) data standards, data management, statistical analysis and reporting, safety, and regulatory submission. Technical Proficiency: Demonstrated ability to use technology for knowledge management. Hands‐on proficiency with enterprise collaboration tools (e.g., SharePoint, document management systems) and scripting skills (Python preferred) for data analysis and automation. Familiarity with knowledge graphs, semantic retrieval, or AI‐assisted approaches is a plus. Standards & Governance Knowledge: Working knowledge of industry‐standard information governance and data‐handling practices. Experience developing standards for content management, version control, and access. Leadership & Communication: Excellent project leadership with experience motivating change management. Superior communication and interpersonal skills to train users and build strong connections with employees, IT partners, and external collaborators. Skilled at influencing and championing new ideas, leading through ambiguity with sound judgment and transparent decision‐making, and developing the capabilities of direct and indirect team members through structured coaching and honest feedback. Industry Expertise: Prior experience leading knowledge management projects in a pharmaceutical, clinical research, or other regulated environment with global operations. Familiarity with emerging technologies, including AI, to enhance knowledge sharing. Change Management Credentials: Formal training or certification in change management or process improvement (e.g., PROSCI, Six Sigma, Lean). Cross‐Functional Insight: Experience handling knowledge across multiple functions, regions, and time zones, coordinating with regional and global teams. Strategic Vision: A forward‐looking approach with the ability to anticipate future knowledge needs and scalability requirements. Experience building solutions that have measurably improved efficiency or reduced risk. Long‐Term Impact Success in this role will be measured by the creation of a scalable, efficient, and well‐governed knowledge sharing system for SDnA. The system this role builds will give SDnA employees fast, reliable access to accurate information, helping them navigate the study lifecycle and collaborate across functions and regions. Over time, this knowledge management system will reduce SDnA's operational risk by preserving institutional knowledge, resolving redundant efforts, and keeping content current and compliant as practices evolve. The ideal candidate will address immediate needs while laying a foundation for continuous improvement and innovation in the analytics function for years to come. Equal Opportunity & Diversity Statement 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). Compensation & Benefits Actual compensation will depend on a candidate's education, experience, skills, and geographic location. Full‐time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). 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) 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. Estimated Salary The anticipated wage for this position is $115,500 - $169,400. #WeAreLilly At Lilly we strive to ensure our employees are part of a team that cares about them and our shared purpose of making life better for those around the world. How do we do this? We continue to look for ways to include, innovate, accelerate and deliver while maintaining integrity, excellence and respect for people. We hope that you seek to join us on our journey as we create medicine and deliver improved outcomes for patients across the globe! #J-18808-Ljbffr