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Associate Data Steward Jobs in Kansas (NOW HIRING)

Bayer

Field Associate II

Wichita, KS · On-site

... Stewardship requirements, and Business Code of Conduct and Ethics Standards; Collaborate with ... Strong technical aptitude and ability to work with connected systems and data management;

Bayer

... Stewardship requirements, and Business Code of Conduct and Ethics Standards; Collaborate with ... Strong technical aptitude and ability to work with connected systems and data management;

Bayer

Field Associate II

Wichita, KS · On-site

... Compliance and Stewardship requirements, and Business Code of Conduct and Ethics Standards ... Strong technical aptitude and ability to work with connected systems and data management;

Bayer Inc.

Field Associate II

Wichita, KS

... Compliance and Stewardship requirements, and Business Code of Conduct and Ethics Standards ... Strong technical aptitude and ability to work with connected systems and data management;

IMA Financial Group

Client Associate

Wichita, KS · On-site

Support the collection of claims, census, benchmarking, and carrier data used in renewal strategy ... Chamber of Commerce Citizen Awards - Best Corporate Steward finalist • Inc. Magazine Best ...

IMA Financial Group

Client Associate

Wichita, KS · On-site

Support the collection of claims, census, benchmarking, and carrier data used in renewal strategy ... Chamber of Commerce Citizen Awards - Best Corporate Steward finalist • Inc. Magazine Best ...

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Associate Data Steward information

What is an associate data steward?

Associate Data Stewards are entry-level professionals responsible for supporting the management, quality, and governance of an organization's data assets. They help ensure that data is accurate, consistent, and accessible for business needs by following established policies and procedures. Their duties often include data entry, validation, monitoring data integrity, and collaborating with other teams to resolve data issues. Associate Data Stewards play a key role in maintaining data standards and supporting compliance with data governance frameworks.

What are the key skills and qualifications needed to thrive as an associate data steward, and why are they important?

To thrive as an Associate Data Steward, you need a solid understanding of data management principles, data quality, and metadata, typically supported by a relevant degree in information management, computer science, or a related field. Familiarity with data governance tools, database systems like SQL, and data cataloging platforms is essential, and certifications such as DAMA Certified Data Management Professional (CDMP) can be advantageous. Attention to detail, strong communication skills, and the ability to collaborate across departments are crucial soft skills for this role. These competencies ensure data integrity, regulatory compliance, and effective data utilization across the organization.

What are some common challenges faced by associate data stewards, and how can they be addressed?

Associate Data Stewards often encounter challenges related to data quality, consistency, and governance across multiple departments. Navigating conflicting data definitions and ensuring accurate metadata documentation can be complex, especially in large organizations. To address these challenges, it's important to develop strong communication skills, collaborate closely with data owners, and stay current with internal data governance policies. Regular training on data management tools and active participation in cross-functional meetings can also help Associate Data Stewards effectively resolve issues and promote best practices.

What is the difference between Associate Data Steward vs Data Analyst?

AspectAssociate Data StewardData Analyst
Required CredentialsBachelor's degree in related field, certifications like CDMP or DAMA often preferredBachelor's degree in data, statistics, or related field; certifications like CAP or Microsoft certifications are common
Work EnvironmentData management teams, IT departments, corporate data governance unitsBusiness units, analytics teams, IT departments
Employer & Industry UsageUsed in organizations with data governance and compliance focusUsed across industries for data analysis, reporting, and decision-making

The Associate Data Steward primarily focuses on managing and ensuring data quality within data governance frameworks, while Data Analysts analyze data to generate insights and support business decisions. Both roles require strong data skills but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Steward jobs in Kansas?

The most popular types of Data Steward jobs in Kansas are:

What cities in Kansas are hiring for Associate Data Steward jobs?

Cities in Kansas with the most Associate Data Steward job openings:

Data Innovation Partner Senior

Mission, KS • On-site

The University of Kansas Health System
Health Care and Social Assistance • 5 - 10K employees
Learn more about The University of Kansas Health Systemexternal

Full-time

Re-posted 3 days ago

Key responsibilities

  • Own and deliver significant data innovation initiatives from intake through delivery, applying established methodologies and standards.

  • Design and implement innovation experiments and adoption activities to produce measurable outcomes such as learning, ROI, and value realization.

  • Partner with stakeholders to translate business needs into analytical solutions, ensuring alignment with enterprise strategy and standards.

University Of Kansas Health System rating

7.5

Company rating: 7.5 out of 10

Based on 182 frontline employees who took The Breakroom Quiz

231st of 898 rated healthcare providers

Job description

Position Title
Data Innovation Partner Senior
Broadmoor Campus
Position Summary / Career Interest:
The Data Innovation Partner Senior is a senior individual contributor who delivers significant, enterprise-visible work within the Data Innovation Partner function - advancing what analytics can do through emerging technology and innovation, and scaling how the enterprise uses analytics through strategic growth in adoption, footprint, and value realization. Together, these accountabilities position data as a foundation for every meaningful decision. This role actively contributes to the enterprise's AI journey, applying responsible AI, machine learning, and emerging analytics practices in initiatives that expand what data can do for patient care, operations, and strategic decision-making.
The Senior Partner independently owns meaningful initiatives from intake through delivery, applying established methodologies, frameworks, and standards set by Lead and Principal Partners. They translate strategy into execution - designing solutions, running experiments and driving adoption activities, measuring outcomes, and sharing lessons learned. As an experienced practitioner, the Senior contributes to team methodology, mentors less experienced Partners, and helps their peer group deliver consistently. The Senior partners with senior stakeholders and executive-adjacent audiences to translate business problems into analytical solutions. The Senior also embeds data integrity considerations into their work, partnering with the Data Integrity team to uphold enterprise standards. Success in this role is measured by initiative outcomes, quality of work, and growth of the practitioners around them.
Responsibilities and Essential Job Functions
  • **Delivery & Execution
  • Independently own significant initiatives from intake through delivery within the team's scope, applying methodologies, frameworks, and standards set by senior peers.
  • Design and deliver innovation experiments and adoption activities that produce measurable outcomes (learning, ROI, utilization, value realized).
  • Contribute to the design and delivery of AI, machine learning, and emerging technology initiatives - applying enterprise standards for responsible AI, evaluation criteria, and integration patterns established by Principal Partners.
  • Participate actively in team forums (standups, planning, retrospectives); contribute to continuous improvement of team practices.
  • Anticipate risks and blockers within initiatives and raise them proactively to Leads/Principals for coordination.
  • Contribute to standardizing workflows and reducing cycle time by identifying and sharing repeatable patterns from delivery work.
  • **Integration & Alignment
  • Partner with stakeholders across the organization to translate business needs into innovation experiments and adoption plans, aligned with enterprise strategy and governance standards.
  • Coordinate with peer Senior Partners across the function to share methodology, avoid duplication, and align on approach.
  • Apply analytical frameworks and evaluation standards to initiatives, inclusive of AI/ML considerations for scale and risk, generative AI use cases and guardrails, and analytics adoption considerations for ROI, user enablement, and value realization.
  • Apply responsible AI standards - including data privacy, model transparency, bias awareness, HIPAA/CMS alignment, and human oversight expectations - to AI/ML work.
  • Contribute to enterprise programs and initiatives; provide input on approach and methodology from a practitioner perspective.
  • Identify integrity, risk, or readiness considerations within work and escalate to Lead/Principal or Data Integrity partners where needed.
  • **Specialty Depth & Continuous Improvement
  • Build and maintain recognized depth on a specialty area within innovation, analytics adoption, or a related domain; serve as the trusted go-to for the peer group on that specialty.
  • Contribute to team methodology, playbooks, and standards by sharing what works, refining approaches based on delivery experience, and offering perspective in team methodology discussions.
  • Apply established value measurement approaches to evaluate initiatives; contribute lessons learned to inform framework refinement by senior peers.
  • Stay current with AI, machine learning, and emerging analytics developments relevant to the specialty area; bring learnings back to the team.
  • Embed data quality, lineage, and integrity considerations into initiatives from the start, partnering with the Data Integrity team on standards and enterprise practices.
  • **Influence & Stewardship
  • Mentor less experienced Partners (Standard, Associate) through coaching, pairing, work review, and knowledge sharing.
  • Represent initiatives and specialty in cross-functional planning, working sessions, and stakeholder forums.
  • Partner with peer Seniors across the function to align on practitioner-level coordination and share lessons across teams.
  • Model a collaborative, evidence-driven culture that reflects enterprise values; contribute to psychological safety and openness within the team.
  • Support Lead and Principal Partners in preparing communications, artifacts, and materials for executive and governance forums.
  • Contribute to enterprise data literacy and AI literacy by translating specialty depth into accessible guidance for clinicians, operational leaders, and analytics peers.
  • Champion continuous improvement by questioning assumptions on initiatives, running structured retrospectives, and applying learnings forward.
  • Must be able to perform the professional, clinical and or technical competencies of the assigned unit or department.
  • These statements are intended to describe the essential functions of the job and are not intended to be an exhaustive list of all responsibilities. Skills and duties may vary dependent upon your department or unit. Other duties may be assigned as required.

Required Education and Experience
  • Bachelors Degree Business/Innovation, Data Science, Computer Science, Engineering, Health Administration, Organizational Development, Adult Learning, or Communications, or a related field - or equivalent years of experience.
  • 7 or more years in analytics, coding development, analytics enablement/adoption, or organizational change work tied to data and technology, or a related technical role.
  • 5 or more years in each of the following: *applying ROI analysis, performance indicators, and impact metrics to evaluate program or initiative outcomes and inform prioritization decisions; *analytics, business intelligence, digital transformation, or analytics adoption/change enablement, with demonstrated impact beyond a single project or team; *supporting performance improvement, process optimization, business transformation, or project/change management initiatives
  • 3 or more years in each of the following: applying business intelligence tools (e.g., Power BI, Tableau, Epic SlicerDicer) to enable analytics adoption, decision-making, and user education; * using portfolio and work management tools (e.g., ServiceNow, Azure DevOps, Jira) for intake, routing, documentation, prioritization, and tracking; * developing adoption and enablement metrics (e.g., usage telemetry, training impact, satisfaction) to measure analytics ROI, applying value measurement frameworks, performance indicators, and impact metrics at the project or program level; *serving as a recognized subject matter contributor in innovation, analytics adoption, or a related specialty - trusted to represent the team on their area of expertise, contributing to methodology and standards shaped by senior peers
  • 2 or more years in each of the following: owning significant initiatives end-to-end, with quantified outcomes (e.g., delivery milestones met, adoption/utilization achieved, measurable value delivered, framework refinement, capability improvement); and where possible, at least one AI, machine learning, or emerging technology initiative; * working with data quality, lineage, metadata, or data governance concepts as part of analytics, innovation, or adoption initiatives, in partnership with integrity/governance functions; * mentoring or supporting less experienced practitioners through coaching, pairing, work review, or knowledge sharing

Preferred Education and Experience
  • Master's Degree Business Administration, Health Administration, Data Analytics, Organizational Development, or related field

Required Licensure and Certification
  • All required: Epic Cogito Fundamentals (COG170) certification; * Epic Cogito Project Manager (COG300) certification; * LEAN certification; *Complete Epic SQL I coursework; *Complete Epic SQL II coursework; *Complete advanced role-aligned learning paths in technology and people leadership (e.g., DataCamp tracks, Epic fundamentals, change management micro credentials), with at least 50 hours annually within 1 Year
  • Innovation Track: Agile Scrum Master certification; Advisory & Adoption Track: APMG Change Management Foundation or equivalent recognized change-adoption credential within 1 Year

Knowledge Requirements
  • PREFERRED KNOWLEDGE AND EXPERIENCE:
  • 0-2 years SQL experience in a relational database, or an equivalent combination of education and experience
  • Demonstrated proficiency in SQL, Python or R, and cloud data platforms (e.g., Azure Data Lake, Databricks, Synapse, Snowflake) - with the ability to design data models, transformations, and integrations at scale.
  • Foundational credential or coursework in AI, machine learning, or responsible AI practices (e.g., Microsoft AI Fundamentals, Google AI Essentials, Databricks fundamentals, healthcare AI ethics coursework).
  • 2+ years applying AI, machine learning, or generative AI capabilities to analytics initiatives - including designing prompts, integrating AI-assisted analysis, evaluating model outputs, and understanding responsible AI considerations.
  • 3+ years working with healthcare data ecosystems (clinical, operational, financial, regulatory) - with demonstrated understanding of Epic, Caboodle, or comparable healthcare data platforms, and awareness of HIPAA, CMS, and clinical data implications.
  • Advanced technical credential aligned to team assignment or specialty (e.g., Azure AI Engineer, Databricks ML Professional, Tableau/Power BI advanced certifications, advanced change/adoption practitioner).
  • Healthcare environment experience.
  • Foundational understanding of data observability, metadata management, and lineage practices.
  • Familiarity with Epic analytics ecosystems (Cogito, Caboodle, Radar).
  • Demonstrated impact beyond a single team (contributing to enterprise standards, adoption playbooks, or maturing communities of practice).
  • Experience participating in governance councils, technical review boards, or portfolio prioritization forums.
  • Formal change-management or product ownership training (e.g., CCMP, APMG, PROSCI, CSPO/CPO).
  • 3+ years partnering with senior stakeholders and executive-adjacent audiences (VPs, Directors, Physician Leaders, operational executives) to translate business problems into analytical solutions and influence decision-making.

Time Type:
Full time
Job Requisition ID:
R-56262
Important information for you to know as you apply:
  • The health system is an equal employment opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, ancestry, age, disability, veteran status, genetic information, or any other legally-protected status. See also Diversity, Equity & Inclusion.
  • The health system provides reasonable accommodations to qualified individuals with disabilities. If you need to request reasonable accommodations for your disability as you navigate the recruitment process, please let our recruiters know by requesting an Accommodation Request form using this link asktalentacquisition@kumc.edu.
  • Employment with the health system is contingent upon, among other things, agreeing to the health-system-dispute-resolution-program.pdf and signing the agreement to the DRP.

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What University Of Kansas Health System employees say

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About University of Kansas Health System

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Operating within the healthcare industry, The University of Kansas Health System is a renowned medical institution located in Kansas City, KS, United States. Established in 1905, this not-for-profit health system has evolved to offer an extensive range of products and services, which spans across a variety of specialist areas such as cancer care, neurology, cardiology, and organ transplants, among others. The core mission of The University of Kansas Health System is to enhance the health and wellness of individuals and communities by providing world-class healthcare services, quality education and conducting advanced research. They are also known for their unwavering commitment to academic medicine, which sets them apart from their peers.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Kansas City, KS, US

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