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Senior Data Strategy Jobs in Kansas (NOW HIRING)

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Key functions include but are not limited to: * Assist with long-term strategic planning for modern ...

Berkley

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

Responsibilities Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to ... Key functions include but are not limited to: * Assist with long-term strategic planning for modern ...

Berkley

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

Intrepid Direct Insurance is looking for an experienced Senior Data Engineer to mentor, orchestrate ... Key functions include but are not limited to: * Assist with long-term strategic planning for modern ...

Altasciences

Senior Lead Data Manager

Overland Park, KS · On-site +1

In addition, the Senior Data Manager has an active role in continuous improvement and acts as a ... Provide input on study timelines, identify risks, and communicate mitigation strategies to the ...

Autodesk

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the ... Guide experimentation strategies, including A/B testing, causal inference, and evaluation ...

TEKsystems

Data Architect

Topeka, KS · Hybrid

$133K - $177K/yr

Description Client is seeking a senior-level Data Architect to help define and lead the future ... Our expertise in strategy, design, execution and operations unlocks business value through a range ...

New

TEKsystems

Data Architect

Topeka, KS · Hybrid

$133K - $177K/yr

Description Client is seeking a senior-level Data Architect to help define and lead the future ... Our expertise in strategy, design, execution and operations unlocks business value through a range ...

New

Orion Global Solutions

$59.25 - $73.50/hr

... Senior Data Specialist * Strong expertise in Salesforce object modeling, schema design, security model, and data access controls, governor limits. * Proven experience with data migration strategies ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

Senior Analytics Specialist About the Role Lead complex analytics initiatives that drive strategic ... data solutions * Design and execute launch strategies including training, change management, and ...

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Senior Data Strategy information

What does a Senior Data Strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a Senior Data Strategy professional, and why are they important?

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a Senior Data Strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

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

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

What are the most commonly searched types of Data Strategy jobs in Kansas? The most popular types of Data Strategy jobs in Kansas are:
What are popular job titles related to Senior Data Strategy jobs in Kansas? For Senior Data Strategy jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Senior Data Strategy jobs in Kansas look for? The top searched job categories for Senior Data Strategy jobs in Kansas are:
What cities in Kansas are hiring for Senior Data Strategy jobs? Cities in Kansas with the most Senior Data Strategy job openings:
Senior Data Strategy jobs near you
Senior Data Scientist

Senior Data Scientist

Garmin International, Inc.

Olathe, KS • On-site

Full-time

Posted 18 days ago

Garmin rating

8.8

Company rating: 8.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

8th of 141 rated electronics manufacturers

Job description

Overview
We are seeking a full-time Senior Data Scientist at Garmin's U.S. headquarters in the Greater Kansas City area. In this role, you will be responsible for providing technical leadership and strategic project planning for data science initiatives related to new products, applications, or systems within the company. This role involves leveraging advanced data science techniques to drive innovation and deliver actionable insights that support business objectives. The Senior Data Scientist will collaborate with cross-functional teams, mentor junior data scientists and/or software engineers, and ensure the successful implementation and integration of data-driven solutions.
Essential Functions
  • Lead the design, development, and deployment of advanced AI/ML models and algorithms to solve complex business problems
  • Develop and integrate the AI agents/solutions seamlessly with existing Contract Management Systems (CMS) and document repositories.
  • Lead the design and implementation of end-to-end Retrieval-Augmented Generation (RAG) pipelines to ground LLMs with up-to-date and authoritative external data.
  • Manage the entire data flow for RAG, including document chunking, metadata management, and generating high-quality vector embeddings using state-of-the-art embedding models.
  • Evaluate, select, and manage vector databases (e.g., Pinecone, Weaviate, Qdrant) and indexing techniques (e.g., HNSW) to ensure fast and accurate semantic search and retrieval.
  • Continuously iterate on the RAG components, including retrieval algorithms and prompt engineering strategies, to maximize the contextual relevance and quality of generated responses.
  • Provide technical leadership and mentorship to junior data scientists, fostering a culture of continuous learning and improvement
  • Drive the strategic planning and execution of data science projects, ensuring alignment with business goals and timelines
  • Collaborate with cross-functional teams, including engineering, legal, product management and business stakeholders, to define project requirements and deliver data-driven solutions
  • Develop and implement scalable data pipelines and workflows to support the end-to-end data science lifecycle
  • Evaluate and integrate new data science techniques, tools, and technologies to enhance the company's data capabilities
  • Communicate complex analytical concepts and results to non-technical stakeholders through clear and compelling data visualizations and presentations
  • Ensure the robustness, scalability, and performance of deployed models, monitoring their impact and iterating as necessary
  • Champion best practices in data science, including data governance, model validation, and ethical AI considerations
  • Identify and prioritize opportunities for leveraging data to drive business growth and operational efficiency
  • Lead the development of custom machine learning models and algorithms tailored to specific business needs
  • Stay current with the latest advancements in data science, machine learning, and AI including LLMs, RAG frameworks (e.g., LangChain, LlamaIndex), and vector database technologies, and apply this knowledge to drive innovation within the company
  • Own team-level success by monitoring, modifying and creating team processes to help ensure consistency, continuity, efficiency and impact in analysis and ML pipelines
  • Mentor and guide junior team members, sharing best practices and providing constructive feedback
  • Pioneer peer reviews and foster a culture of continuous improvement and learning
  • Develop and enforce data governance policies and procedures to ensure data integrity and security
  • Monitor compliance with data privacy laws and regulations and implement measures to protect sensitive information

Basic Qualifications
  • Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software Engineering, Aerospace Engineering, Math or Physics or a technical field (such as CIS or IT) relevant to the essential functions of this job description AND a minimum of 5 years of relevant experience OR an equivalent combination of education and relevant experience
  • Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)
  • Extensive experience using systems such as SQL, Python, or R
  • Strong expertise in machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
  • Proven hands-on experience in fine-tuning Large Language Models (LLMs) and deep understanding of their architectures (e.g., Transformers).
  • Strong experience designing and deploying RAG systems and building high-performance semantic search and retrieval pipelines.
  • Practical experience with vector embeddings and working with vector databases for production-grade applications.
  • Demonstrated expert knowledge in data analysis methods and tools
  • Demonstrated strong and effective verbal, written, and interpersonal communication skills
  • Must be team-oriented, possess a positive attitude, and work well with others
  • Driven problem solver with proven success in solving difficult problems
  • Consistently demonstrates quality and effectiveness in work documentation and organization

Desired Qualifications
  • Advanced experience with structured database management systems and distributed computing
    Expertise in time series analysis, NLP, deep learning, or reinforcement learning
  • Leadership in MLOps, model deployment, and CI/CD for data science workflows
  • Advanced understanding of A/B testing and causal inference
  • Experience working with unstructured data (text, images, audio, etc.)
  • Proficiency with cloud platforms (e.g. AWS, Azure, GCP) for data science workflows
  • Experience with real-time data processing technologies (e.g. Apache, Kafka)

Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability.
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Employment Benefits

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