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Executive Aws Data Analytics Jobs in Springfield, MO

HiFyve

Buisness Unit Manager

Springfield, MO · On-site

$152K - $170K/yr

... and executive leadership. Job Responsibilities * Own the assigned product line from strategic ... Conduct market research, assess customer needs, and analyze competitive data * Partner with sales ...

Abile Group, Inc

Cloud Engineer

Springfield, MO · On-site

$130 - $190/hr

... User Facing and Data Center Services supporting an Intelligence Community customer. All the ... Maintains System in AWS environment using EC2, S3, Load Balancer, and RDS. * Automates and ...

Coxhealth

Liability Risk Manager

Springfield, MO · On-site

Through data analysis, education, and multidisciplinary collaboration, this role promotes fiscal ... Ability to communicate effectively and professionally with clinicians, executives, legal counsel ...

CoxHealth

Liability Risk Manager

Springfield, MO · On-site

Through data analysis, education, and multidisciplinary collaboration, this role promotes fiscal ... Ability to communicate effectively and professionally with clinicians, executives, legal counsel ...

CoxHealth

Liability Risk Manager

Springfield, MO · On-site

Through data analysis, education, and multidisciplinary collaboration, this role promotes fiscal ... Ability to communicate effectively and professionally with clinicians, executives, legal counsel ...

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Executive Aws Data Analytics information

See Springfield, MO salary details

$24.1K

$85.1K

$167.4K

How much do executive aws data analytics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for executive aws data analytics in Springfield, MO is $85,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $109,600.00 per year, depending on experience, location, and employer.

What is an Executive AWS Data Analytics?

Executive AWS Data Analytics roles involve overseeing and guiding the use of Amazon Web Services (AWS) data analytics tools and solutions within an organization. These professionals are responsible for shaping the data strategy, ensuring proper data governance, and maximizing the value of data-driven insights for business decision-making. They often lead teams of data engineers, analysts, and architects, and work closely with other executives to align analytics initiatives with organizational goals. Key responsibilities include managing cloud-based analytics projects, optimizing data workflows, and driving innovation through advanced analytics and machine learning solutions on AWS.

What are the key skills and qualifications needed to thrive as an Executive AWS Data Analytics professional?

To thrive as an Executive AWS Data Analytics professional, you need deep expertise in data analytics, cloud computing, and business intelligence, typically supported by a relevant degree and substantial experience in data-driven leadership roles. Familiarity with AWS analytics services (such as Redshift, Athena, Glue, and QuickSight), big data tools, and certifications like AWS Certified Data Analytics – Specialty are highly valued. Strategic thinking, leadership, and strong communication skills set top performers apart by enabling them to align data initiatives with business objectives and lead cross-functional teams. These skills and qualities are critical for leveraging cloud data solutions to drive organizational growth and informed decision-making.

What are some common challenges faced by Executive AWS Data Analytics professionals when leading analytics initiatives?

Executive AWS Data Analytics professionals often face challenges such as aligning cloud-based analytics solutions with business goals, managing large and diverse data sets securely, and ensuring data quality across multiple sources. They must also navigate fast-evolving AWS technologies, coordinate cross-functional teams with varying technical expertise, and balance project timelines with resource constraints. Effective communication, strategic planning, and ongoing skill development are key to overcoming these challenges and delivering impactful analytics solutions.

Which executive AWS Data Analytics jobs are in demand?

Executive AWS Data Analytics roles such as Data Analytics Director, Cloud Data Officer, and Head of Data Analytics are in high demand due to organizations' increasing reliance on cloud-based data solutions. These positions typically require expertise in AWS services like Redshift, Glue, and Athena, along with leadership skills and relevant certifications such as AWS Certified Data Analytics - Specialty.

What cities near Springfield, MO are hiring for Executive Aws Data Analytics jobs?

Cities near Springfield, MO with the most Executive Aws Data Analytics job openings:

Executive Aws Data Analytics jobs near you

Principal AI Engineer

Brightli

Springfield, MO

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Brightli rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

Job description

Job Description:

Job Title:Principal AI Engineer

Location:Springfield, Missouri

Department:Information Technology

Employment Type:Full-time

Job Summary:Join a compassionate, collaborative team making a measurable difference by building enterprise AI capabilities that empower better decisions and faster insights. Five reasons to apply: opportunity to lead AI strategy across the data platform; handson work with cuttingedge LLM and Snowflake Cortex AI technologies; influence productiongrade analytics used across the business; mentor and grow technical talent; and contribute to responsible, governed AI practices that help others succeed.We'relooking for a creative, systemsthinking engineer with strong data platformexpertise, excellent SQL/Python skills, and a passion for translating business questions into scalable AI solutions.

This roleis responsible fordesigning, developing, and implementing enterprise AI capabilities integrated with the organization's data platform (with a focus on Snowflake). You will create natural language-to-SQL solutions, design semantic data models, build prototypes thatvalidatehighvalue use cases, and guide those prototypes into production. As the senior AI technical contributor within Analytics,you'llpartner with Data Engineering and Analytics teams to set architectural patterns, best practices, and governance-aligned standards for LLM-driven systems.

Thispositionoffers...
EmployeeAssistanceProgram-24/7counselingservices,legalassistance,&financialconsultationforyouandyourhouseholdatnocost
MileageReimbursement-Companypaidforworkfunctionsrequiringtravel
EmployeeDiscounts-Hotels,ThemeParks&Attractions,CollegeTuition
WorkplaceCulture-Anenvironmentcultivatingemployeewellbeing,valuingeachindividual'shumanity,andactivelypromotingahealthy,joyfulworkforce
AdditionalPerks&Benefits-Scrolldowntobottomofthisposttolearnmore

KeyResponsibilities:
LeaddesignanddeliveryofLLMenabledanalyticscapabilitiesusingSnowflakeandCortexAI.
Developnaturallanguage-to-SQLsolutionsandconversationalqueryinterfacesforbusinessusers.
DesignandmaintainsemanticdatamodelsthatsupportreliableAIdrivenquerygeneration.
BuildprototypeAIapplicationstodemonstratecapabilitiesandvalidatebusinessvalue.
Drivethetransitionofprototypesintoscalable,productionreadysolutionsontheenterprisedataplatform.
Definearchitecturalpatterns,bestpractices,andstandardsforapplyingLLMtechnologiestostructureddata.
PartnerwithDataEngineeringonpromptdesign,querygenerationframeworks,andevaluationmethodologies.
IdentifyhighimpactAIopportunitiesacrossanalytics,reporting,anddecisionsupport.
EvaluateemergingAItoolsandSnowflakeplatformcapabilitiesforadoption.
SupportdevelopmentofresponsibleandsecureAIusagestandardsalignedwithdatagovernance.
Documentsystemarchitectures,designdecisions,andimplementationapproaches.
Providetechnicalguidanceandmentorshiptoanalyticsanddataengineeringteammembers.
Functioninaccordancewithoperationalguidelinesandprofessionalethics.
Participateinstaffdevelopmentactivities.
Performotherdutiesasassigned.

Education,Experience,and/orCredentialQualifications:
Bachelor'sdegreeorequivalentexperienceinComputerScience,DataEngineering,DataScience,InformationSystems,orrelatedfield.
7+yearsofexperienceindata,analytics,engineering,orappliedAIroles.
DemonstratedexperiencebuildingorprototypingAI/LLMdrivensolutionsinenterpriseenvironments.
Experiencewithmoderndatawarehouseplatforms(Snowflakepreferred).
ProficiencyinSQLandPython.
Experiencewithcloudplatforms(AWS,Azure,orGCP)preferred.
Healthcareorregulatedindustryexperiencepreferredbutnotrequired.

AdditionalQualifications:
Strongunderstandingofmoderndatawarehousearchitectureandanalyticsdatamodelingpractices.
ExperiencedesigningnaturallanguagequeryinterfacesorAIassistedanalyticstools.
Knowledgeofpromptengineering,contextmanagement,andgroundingtechniquesforLLMsystems.
Knowledgeofsemanticdatamodelinganddatagovernanceprinciples.
Abilitytotranslatecomplexanalyticalquestionsintoscalabletechnicalsolutions.
Excellentcommunicationskillsfortechnicalandnontechnicalstakeholders.
Selfdirectedproblemsolvercapableofleadingnewtechnicalinitiatives.
Currentdriver'slicense,acceptabledrivingrecordandcurrentautoinsurance(aslistedinemploymentrequirements).

PhysicalRequirements
Sedentarywork:exertingupto10poundsofforceoccasionallyand/ornegligibleamountfrequentlytolift,carry,push,orpullobjects.
Repetitivemovementsofhands,fingers,andarmsfortypingand/orwritingduringworkshift.
Primarilysittingwithoccasionalwalkingorstandingforbriefperiods.

Keywords: Principal AI Engineer, LLM, Snowflake, Cortex AI, Natural Language to SQL, Semantic Data Modeling, Data Engineering, SQL, Python

Position Perks & Benefits:

Paid time off: full-time employees receive an attractive time off package to balance your work and personal life

Employee benefits package: full-time employees receive health, dental, vision, retirement, life, & more

Top-notch training: initial, ongoing, comprehensive, and supportive

Career mobility: advancement opportunities/promoting from within

Welcoming, warm, supportive: a work culture & environment that promotes your well-being, values you as human being, and encourages your health and happiness

Brightli is on a Mission:

A mission to improve client care, reduce the financial burden of community mental health centers by sharing resources, a mission to have a larger voice in advocacy to increase access to mental health and substance user care in our communities, and a mission to evolve the behavioral health industry to better meet the needs of our clients.

As a behavioral and community mental health provider, we prioritize fostering a culture of belonging and connection within our workforce. We encourage applications from individuals with varied backgrounds and experiences, as we believe that a rich tapestry of perspectives strengthens our mission. If you are passionate about empowering local communities and creating an environment where everyone feels valued and supported, we invite you to join our mission-driven organization dedicated to cultivating an authentic workplace.

We are an Equal Employment Opportunity Employer.

Brightli is a Smoke and Tobacco Free Workplace.

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