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Data Strategy Manager Jobs in Kansas (NOW HIRING)

Empower

Data Program Manager

Overland Park, KS · On-site

$165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Work with Analysts and stakeholders to develop meaningful insights and translate them into strategy ... Experience managing data platforms, business intelligence, and data analytics functions.

FocusKPI

Marketing Operations Analyst

Topeka, KS · On-site

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Lantern

Strategy Analyst

Overland Park, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

FocusKPI

Marketing Operations Analyst

Pittsburg, KS · On-site

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Lantern

Strategy Analyst

Kansas City, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

FocusKPI

Marketing Operations Analyst

Wichita, KS · On-site

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

FocusKPI

Marketing Operations Analyst

Kansas City, KS · On-site

Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns. * Data Governance and Management: Gain a comprehensive ...

Lantern

Strategy Analyst

Wichita, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Lantern

Strategy Analyst

Pittsburg, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Lantern

Strategy Analyst

Topeka, KS · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze claims and cost savings data to drive insights for reporting and product improvement ... top management consulting, strategy, tech, and/or startup Operation or Product roles * High ...

Evergy

Corporate Strategy Analyst

Topeka, KS

$61K - $76K/yr

This role will report to the Mgr. Corporate Strategy and Sustainability and will work closely with ... Translate market research data to identify customer, industry, and technology trends and assess ...

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Showing results 41-60

All JobsData Strategy JobsData Strategy Manager JobsData Strategy Manager Jobs in Kansas

Data Strategy Manager information

See Kansas salary details

$27.6K

$86.6K

$153.4K

How much do data strategy manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data strategy manager in Kansas is $86,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $111,900.00 per year, depending on experience, location, and employer.

What does a data strategy manager do?

A data strategy manager develops and oversees an organization’s data vision, ensuring data collection, management, and analysis align with business goals. They create data governance policies, collaborate with teams to implement data initiatives, and often use tools like data warehouses and analytics platforms to support decision-making.

What is the difference between Data Strategy Manager vs Data Analyst?

AspectData Strategy ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related fields; often certifications in data management or analyticsBachelor's in Data Science, Statistics, or related fields; certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentStrategic planning, cross-department collaboration, executive meetingsData collection, analysis, reporting, and visualization
Employer & Industry UsageUsed in corporate, tech, finance sectors focusing on data-driven strategiesCommon across various industries for data reporting and insights

The Data Strategy Manager focuses on developing and implementing data-driven strategies to support business goals, often working with leadership. In contrast, a Data Analyst primarily analyzes data sets to generate reports and insights. While both roles require strong analytical skills, the Manager role emphasizes strategic planning and leadership, whereas the Analyst role centers on data analysis and visualization.

What are some common challenges data strategy managers face when aligning data initiatives with business goals?

Data Strategy Managers often encounter challenges such as bridging the gap between technical teams and business stakeholders, ensuring that data initiatives directly support organizational objectives. They must balance ambitious data-driven projects with limited resources and sometimes unclear priorities from leadership. Additionally, navigating data governance, privacy concerns, and legacy systems can complicate efforts to create unified strategies. Effective communication and stakeholder management are key to overcoming these obstacles and driving business value.

What are the key skills and qualifications needed to thrive as a data strategy manager?

To thrive as a Data Strategy Manager, you need expertise in data analytics, business intelligence, and strategic planning, often supported by a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), data management systems, and possibly certifications in data governance or analytics is highly valuable. Strong communication, leadership, and stakeholder management skills help bridge technical and business teams while driving data initiatives. These competencies are crucial for aligning data-driven insights with organizational goals and ensuring impactful decision-making.

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

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

Data Strategy Manager jobs near you
Infographic showing various Data Strategy Manager job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $86,638 per year, or $41.7 per hour.

Manager - Data Platforms

CommunityAmerica Credit Union

Lenexa, KS • On-site

Full-time

Re-posted 11 days ago

CommunityAmerica Credit Union rating

8.5

Company rating: 8.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Summary
TruHome Solutions is seeking a hands-on, technically strong Manager of Data Platforms to lead the foundation that powers our data and analytics capabilities. TruHome provides mortgage origination and servicing solutions to credit unions across the country, and data is central to how we serve our clients. Our platforms power outbound data feeds, operational and analytical reporting, and the insights our internal teams and credit union clients rely on every day.
This role manages a small team and is responsible for both the Data Platform (including the data warehouse, integration pipelines, and a future cloud data platform) and the BI Platform built on Power BI. The manager will run and stabilize the existing SQL Server-based environment while playing a lead role in standing up a new cloud data platform on Databricks and Azure, maturing Power BI as the enterprise BI standard, and expanding both platforms to support additional business areas.
The ideal candidate is a player-coach with depth across data engineering and BI platforms, equally effective leading a team, partnering with business stakeholders, and managing day-to-day delivery. They should be a quick business learner who can navigate the nuances of mortgage origination and servicing and communicate clearly with both technical and non-technical audiences.
Duties & Responsibilities
  • Lead and develop a small team responsible for the Data and BI Platforms; foster a culture of technical excellence, accountability, and continuous learning.
  • Own day-to-day operations of the SQL Server data warehouse, ETL/ELT pipelines, and outbound data feeds to member credit unions; ensure reliability, accuracy, and timely delivery.
  • Own and mature the BI platform end-to-end, including Power BI environment administration, semantic model and dataset standards, workspace and capacity governance, report performance, and operational/paginated reporting. Expand its footprint and self-service adoption across TruHome business areas.
  • Help shape and execute on the data and analytics strategy for TruHome, including the design and stand-up of a new cloud data platform on Databricks and Azure.
  • Drive maturity of the enterprise data warehouse by improving data integration, modeling, quality, and documentation, so it can serve as a trusted source for outbound feeds, reporting, and future analytical use cases.
  • Embrace and apply AI capabilities, including AI-assisted development, natural-language analytics (e.g., Databricks Genie), and AI features within the BI platform, to accelerate team productivity and improve data accessibility for business users.
  • Manage the intake, prioritization, and delivery of platform work using Agile/Scrum practices.
  • Serve as a trusted partner to TruHome business leaders and credit union clients. Translate business needs into platform capabilities, communicate progress and tradeoffs clearly, and build credibility through reliable delivery.
  • Support onboarding of new credit union clients by leading the build-out of outbound data pipelines required to integrate with their core and other downstream systems.
  • Support data governance, security, privacy, and regulatory compliance requirements relevant to mortgage servicing and credit union data, partnering with risk, compliance, and information security teams.
  • Manage select vendor relationships and assist with budget planning for tools, licenses, and contractors across the data and BI platforms.

Requirements
Education and Experience Requirements
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related quantitative or technical field required; Master's degree preferred.
  • 8 to 12 years of progressive experience in data engineering, business intelligence, analytics, or data/BI platform roles, with meaningful exposure across both data platform and BI platform domains.
  • 3 to 5 years of experience leading or managing small technical teams, including hiring, performance management, and team development.
  • Demonstrated experience building out or standing up cloud data platforms, ideally on Azure with Databricks. Equivalent experience on other major cloud data platforms (e.g., Snowflake, AWS, GCP) will be considered if paired with strong Spark fundamentals.
  • Exposure to maturing a BI platform (establishing standards, scaling adoption, improving semantic models and report quality, and enabling self-service) is preferred.
  • Experience in mortgage origination, mortgage servicing, banking, lending, or other financial services data environments highly preferred. Candidates without direct domain experience must clearly demonstrate a track record of quickly learning new business domains.
  • Experience working in Agile/Scrum environments and managing team delivery through structured backlogs and sprints.
Required Knowledge, Skills and Abilities
  • Strong hands-on skills with SQL Server, including SSIS for ETL development and maintenance, stored procedure development, query optimization, and performance tuning.
  • Strong hands-on skills with the modern data stack: Python, PySpark, Spark SQL, and cloud data platform services (Databricks, Azure Data Lake Storage, Azure Data Factory or equivalent orchestration).
  • Solid data modeling skills across multiple paradigms (3rd Normal Form / ODS, dimensional/Kimball-style, and modern lakehouse / medallion patterns), with judgment on when each is appropriate.
  • Good working knowledge of the Power BI platform, including semantic/tabular model design, DAX, workspace and capacity management, dataset governance, and report performance tuning. Able to set technical direction and standards for the BI platform.
  • Familiarity with DevOps / DataOps practices including Git-based source control, CI/CD pipelines (Azure DevOps or GitHub Actions), code review, and environment management.
  • Awareness of data governance, security, and privacy practices relevant to regulated financial services environments.
  • Curiosity about and practical experience applying AI tools in data engineering and BI workflows (e.g., GitHub Copilot, Databricks Assistant/Genie, Power BI Copilot); willingness to experiment, evaluate, and bring forward what works.
  • Excellent written and verbal communication skills, with the ability to translate between technical and business audiences and to communicate confidently with senior leaders and external clients.
  • Effective people leader and strong stakeholder manager. Able to coach a small technical team, set expectations, push back constructively, and build long-term trust.
  • Pragmatic and outcome-oriented; able to balance maintaining a running business with iteratively introducing modern platforms and practices, and to manage competing priorities across operational support, project delivery, and platform modernization.

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