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Manager Data Analytics Engineer Jobs in Connecticut

3B Staffing LLC

Data Analytics Engineer (AI)

Stamford, CT · On-site

$122K - $146K/yr

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client ... Develop and manage prompt engineering frameworks, embeddings, and vector databases * Translate ...

Gartner

Manager, Data Analytics

Stamford, CT · On-site

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

Gartner, Inc.

Manager, Data Analytics

Stamford, CT · On-site

Partner with stakeholders (e.g., IT, Interactions Operations, Content Analytics, Data Engineering, Data Science, and Global Product Management) to understand business needs and capabilities and ...

Gartner

Manager, Data Analytics

Stamford, CT

Partner with stakeholders (e.g., IT,Interactions Operations,Content Analytics,Data Engineering, Data Science,and Global Product Management) to understand business needs and capabilities and ...

Aequor

$115K - $138K/yr

Strong business analysis skills, including requirements gathering, process mapping, documentation ... Understanding of data governance, master data management, metadata, data stewardship, data lineage ...

Pwc

Data Engineer - Manager

Hartford, CT · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Manager

Stamford, CT

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Reconomy

Manager, Business Data & Analytics

Windsor, CT · On-site +1

$100K - $125K/yr

Manager, Business Data & Analytics Application Deadline: 12 August 2026 Department: Change ... Bachelor's degree in Data Analytics, Business, Finance, Engineering, or a related field. * 3-6 ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... Manage workspace access, sensitivity labels, and data governance across Fabric and Power BI (e.g ...

LOVESAC COMPANY

Sr. Engineer, Data & Analytics

Stamford, CT · On-site +1

$100K - $125K/yr

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... Manage workspace access, sensitivity labels, and data governance across Fabric and Power BI (e.g ...

Pwc

Data Engineer - Senior Manager

Stamford, CT · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Manager

Hartford, CT

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Connecticut

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Connecticut? The most popular types of Data Analytics Engineer jobs in Connecticut are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Connecticut? For Manager Data Analytics Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Connecticut look for? The top searched job categories for Manager Data Analytics Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Manager Data Analytics Engineer jobs? Cities in Connecticut with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Connecticut as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Data Analytics Engineer (AI)

3B Staffing LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Posted 15 days ago

Job description

Senior AI Data Analytics Engineer Stamford, CT (Hybrid) local only EC:- Financial Services Client GC, USC LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred). AI Configuration & Optimization
  • Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
  • Develop and manage prompt engineering frameworks, embeddings, and vector databases
  • Translate business requirements into AI-powered workflows and intelligent automation solutions
AI Implementation & Delivery
  • Deploy production-ready ML/AI models and data pipelines
  • Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
  • Build scalable, end-to-end AI and data solutions aligned with business goals
  • Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
  • Design and maintain MLOps frameworks including CI/CD pipelines
  • Implement model monitoring, versioning, governance, and performance optimization
  • Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
  • Enhance reliability, security, and compliance of AI systems
Required
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
  • 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
  • Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
  • Strong programming skills in Python (preferred)
  • Experience deploying ML/AI models into production environments
  • Solid understanding of cloud platforms (Azure, AWS, or GCP)
  • Experience building CI/CD pipelines for AI/ML systems
Preferred
  • Experience in Financial Services domain
  • Familiarity with API development and microservices architecture
  • Experience with model governance, compliance, and AI risk frameworks
  • Knowledge of scalable distributed data systems

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