Top 80 Data manager Jobs in St. Louis Mo

AI Engineering Lead
Automotive Product Consultants LLC —Columbia, IL
- $110,000 - $150,000 a year
- Computer Science
- Office
- Bachelor's degree
Quick Apply
8d
Finance Manager - AI Trainer
DataAnnotation —St. Louis, MO
- $50 - $100 an hour
- Part-time
- Remote
- English
- Mid-level
- Master's degree
Quick Apply
Data Center Project Manager
H5 Data Centers —St. Louis, MO
- $125,000 - $130,000 a year
- Full-time
- Microsoft Word
- Microsoft Excel
- 5 years
Quick Apply
Lead Data Center Superintendent
Actalent —St. Louis, MO
- $180,000 - $200,000 a year
- Full-time
- Construction site
- Presentation skills
- Travel
- Disability insurance
- 401(k) matching
Quick Apply
13h
Data Analytics & Business Intelligence Manager
BJC HealthCare —St. Louis, MO
- $83,865.60 - $136,593.60 a year
- Full-time
- Master's degree
- SQL
- Bachelor's degree
- Disability insurance
- Health insurance
14d
Manager, Data Analytics
Ameren —St. Louis, MO
- $131,900 - $204,400 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Paid parental leave
- Paid holidays
7d
Exploitation Specialist/Data Manager & Cataloger
Leidos —St. Louis, MO
- $59,150 - $106,925 a year
- Full-time
- Research
- Mid-level
- Analysis skills
3d
Data Governance- Manager
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $99,000 - $232,000 a year
- 5 years
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
Data Strategy-Manager
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $99,000 - $232,000 a year
- 5 years
- SQL
- Bachelor's degree
- Paid holidays
- Health insurance
Senior Manager, Data Engineering
Cushman & Wakefield —Creve Coeur, MO
- $140,250 - $165,000 a year
- Full-time
- Hybrid work
- Azure
- Mentoring
- Agile
- Health savings account
- Disability insurance
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Business Intelligence Manager
Cushman & Wakefield —Creve Coeur, MO
- $97,750 - $115,000 a year
- Full-time
- Google Workspace
- Computer science
- Computer Science
- Health savings account
- Disability insurance
Quick Apply
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Data Strategy & Governance Manager - Utilities
Accenture —St. Louis, MO
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Management
- Master's degree
- Travel
- Paid holidays
- Disability insurance
9d
Senior Manager, Data Warehouse & Enterprise Reporting
St. Louis Community College —Bridgeton, MO
- Weekends as needed
- 7 years
- Research
- Bachelor's degree
- Paid holidays
- Health insurance
Master Data Manager
Stellar IT Solutions LLC —St. Louis, MO
- $100,000 - $130,000 a year
- Full-time
- Hybrid work
- Computer Science
- 8 years
- SQL
Quick Apply
Data Lead – Project Aurora
Anheuser-Busch —St. Louis, MO
- $106,400 - $126,350 a year
- Full-time
- Computer Science
- Travel
- Business Administration
- Disability insurance
- Health insurance
Community Reinvestment Act (CRA) Data Analytics & Reporting Manager
U.S. Bank National Association —St. Louis, MO
- $133,365 - $156,900 a year
- Full-time
- Azure
- Management
- Office
- Paid holidays
- Disability insurance
Data Architecture/Data Fabric Senior Manager - Utilities
Accenture —St. Louis, MO
- $122,700 - $338,300 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
9d
Applied AI Health Data Architect-Senior Manager
PRICE WATERHOUSE COOPERS —St. Louis, MO
- $124,000 - $280,000 a year
- HIPAA
- 8 years
- SQL
- Paid holidays
- Health insurance
Data Architecture/Data Fabric Manager - Utilities
Accenture —St. Louis, MO
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Master's degree
- Travel
- US work authorization
- Paid holidays
- Disability insurance
9d

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AI Engineering Lead

Automotive Product Consultants LLC -
Columbia, IL

Quick Apply

Job Details

$110,000 - $150,000 a year
8 days ago

Qualifications

AI models
Generative models
Machine intelligence
Leading team collaboration initiatives
Cross-functional team management
Generative AI
Cross-functional communication

Full Job Description

Position Title: AI Engineering Lead

Position Location: Columbia Illinois-Inline Data Systems- (Hybrid, 4 DAYS in the office 1 DAY from home after probationary period)

Position Status: Salay Exempt

Reporting to: Director of Software Development

Compensation: $110,000-$150,000 per year based on experience

Company Summary:

Inline Data Systems an affiliate of Automotive Product Consultants gives sellers and administrators of extended warranties a dynamic CRM with F&I tools to dominate the industry. We’ve worked the same roles you have, so we built our systems with all the functionality you need—and features you didn’t know you wanted.

Basic Purpose and Objective of the Position:

This position will lead the integration of artificial intelligence capabilities into Inline Data Systems' core software products — the Inline Administration platform and Inline CRM — including AI-driven call center features (automated calling and real-time quoting) and AI-driven automated sales experiences on customer-facing websites. This role also drives the adoption of AI-assisted tools and practices across the software development lifecycle. This role bridges applied AI/ML engineering with developer enablement, with the goal of delivering smarter product features and a measurably faster, more productive engineering team.

Key Responsibilities:

1. AI Feature Design and Implementation: Product AI Integration:

Identify, prioritize, and design opportunities to embed AI capabilities into the Inline Administration and Inline CRM platforms, such as intelligent automation, predictive analytics, natural language interfaces, and recommendation or lead-scoring engines.

Build and ship AI-powered features, including conversational assistants, automated data classification/entry, anomaly detection, and smart search.

Integrate with large language model (LLM) APIs (e.g., Anthropic Claude, OpenAI) and manage prompt design, retrieval-augmented generation (RAG) pipelines, and, where appropriate, model fine-tuning.

Ensure AI-driven features are accurate, reliable, secure, and compliant with data privacy requirements.

Call Center and Sales Automation Features:

Design and implement AI-driven calling capabilities for CRM call center customers, including automated outbound/inbound dialing and conversational voice AI to support agent-led and self-service sales calls.

Build AI-assisted quoting tools that generate accurate, real-time product quotes during live customer calls, pulling from CRM and pricing data.

Provide real-time agent assistance during calls, including live transcription, sentiment analysis, and next-best-action or upsell recommendations.

Design and implement AI-driven automated sales experiences on customer-facing websites, including conversational sales assistants, dynamic quoting, and guided checkout flows.

Integrate AI calling and website sales features with telephony/contact center platforms (e.g., Twilio, Amazon Connect) and CRM data to personalize offers, pricing, and follow-up.

Monitor and continuously improve AI-driven call and website sales conversion performance based on outcome data.

2. Developer Productivity and AI Tooling:

AI-Assisted Development Enablement:

Champion and drive adoption of AI coding assistants (e.g., Claude Code, GitHub Copilot) across the development team to accelerate coding, code review, testing, and documentation.

Establish best practices, guidelines, and internal training for effective use of AI tools throughout the software development lifecycle.

Build internal tooling and workflows that apply AI to code generation, automated testing, bug triage, and technical documentation.

Track and report on productivity gains from AI tool adoption, such as cycle time, code review turnaround, and defect rates.

3. AI Strategy and Roadmap:

Partner with product and engineering leadership to define and maintain the AI roadmap for company software products.

Evaluate emerging AI/ML technologies, tools, and vendors for applicability to business needs.

Recommend build-vs-buy decisions for AI capabilities, including self-hosted models versus third-party APIs.

4. Data and Model Management:

Oversee data pipelines needed to support AI features, including data cleaning, labeling, embeddings, and vector database management.

Monitor the accuracy and performance of AI features in production and iterate based on user feedback and usage metrics.

Manage usage and costs of LLM/AI API consumption across products.

5. Security, Compliance, and Responsible AI:

Ensure AI features handle customer and administrative data responsibly and in compliance with relevant data privacy regulations.

Implement guardrails to mitigate AI misuse, hallucination-driven errors, and biased or inappropriate outputs in customer-facing features.

6. Collaboration and Communication:

Work closely with developers, product managers, and QA to embed AI features and productivity tooling into existing workflows.

Provide hands-on training and mentorship to developers on AI-assisted coding practices.

Communicate AI initiatives, timelines, risks, and outcomes to executive leadership.

Knowledge/Experience/Education/Training:

Bachelor's degree in Computer Science, AI/ML, or a related field, or equivalent practical experience.

Proven experience integrating AI or LLM capabilities into production software products.

Hands-on experience with LLM APIs (e.g., Anthropic Claude, OpenAI), prompt engineering, and retrieval-augmented generation (RAG) architectures.

Experience driving adoption of AI coding assistants and developer productivity tooling (e.g., Claude Code, GitHub Copilot).

Proficiency in Python and/or .NET (C#) for AI/ML integration work.

Familiarity with vector databases and embeddings (e.g., Pinecone, pgvector).

Experience with cloud AI/ML services such as AWS Bedrock or SageMaker is a plus.

Familiarity with CRM and business administration software workflows is a plus.

Experience with conversational or voice AI platforms and telephony/contact center integrations (e.g., Twilio, Amazon Connect, IVR systems) is a plus.

Experience building AI-driven sales or e-commerce experiences, such as chat-based sales assistants, dynamic quoting, or pricing engines, is a plus.

Abilities:

Must be able to translate business needs into practical, shippable AI solutions.

Must possess strong communication skills to explain AI capabilities and limitations to non-technical stakeholders.

Must be able to work independently and lead cross-functional AI initiatives.

Must have a strong desire to continuously learn and evaluate new AI technologies.

Ability to analyze and translate complex business processes into automatable, AI-augmented workflows.

Ability to measure and report on AI feature adoption and developer productivity impact using data-driven methods.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.

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Refine Your Search

data manager jobs in st. louis mo

AI Engineering Lead

Finance Manager - AI Trainer

Data Center Project Manager

Lead Data Center Superintendent

Data Analytics & Business Intelligence Manager

Manager, Data Analytics

Exploitation Specialist/Data Manager & Cataloger

Data Governance- Manager

Data Strategy-Manager

Senior Manager, Data Engineering

Business Intelligence Manager

Data Engineer - Senior Manager

Data Strategy & Governance Manager - Utilities

Senior Manager, Data Warehouse & Enterprise Reporting

Master Data Manager

Data Lead – Project Aurora

Community Reinvestment Act (CRA) Data Analytics & Reporting Manager

Data Architecture/Data Fabric Senior Manager - Utilities

Applied AI Health Data Architect-Senior Manager

Data Architecture/Data Fabric Manager - Utilities

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