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Data Analytics Manager Jobs in Brookfield, CT (NOW HIRING)

This role ensures that data, analytics, and AI solutions are designed, deployed, and operated in ... The Senior Manager partners closely with Data & AI teams, Enterprise Architecture, IT, Cybers ...

This role ensures that data, analytics, and AI solutions are designed, deployed, and operated in ... The Senior Manager partners closely with Data & AI teams, Enterprise Architecture, IT, Cybers ...

... data architecture design, conversion and testing Strong organizational, analytical, communication and technical writing skills Ability and comfort level researching emerging issues, including ...

The SIOP Data Analyst supports the Sales, Inventory, and Operations Planning (SIOP) process through reporting, data analysis, and master data management. This role is responsible for maintaining data ...

Data Entry and Word Processing

Wassaic, NY ยท On-site

$17.50 - $20.75/hr

Provide administrative support by processing purchase requests, maintaining records, managing ... Data Analytics and AI. ISO-certified and CMMI Level 3 appraised, we proudly partner with 70 ...

Showing results 41-60

Data Analytics Manager information

See Brookfield, CT salary details

$31.4K

$98.5K

$174.4K

How much do data analytics manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics manager in Brookfield, CT is $98,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $127,300.00 per year, depending on experience, location, and employer.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What job categories do people searching Data Analytics Manager jobs in Brookfield, CT look for?

The top searched job categories for Data Analytics Manager jobs in Brookfield, CT are:

What cities near Brookfield, CT are hiring for Data Analytics Manager jobs?

Cities near Brookfield, CT with the most Data Analytics Manager job openings:

Infographic showing various Data Analytics Manager job openings in Brookfield, CT as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $98,528 per year, or $47.4 per hour.

Sr Manager - Data & AI Governance

Iberdrola

Orange, CT โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago


Job description

The base salary range for this position is dependent upon experience and location, ranging from $163,360 to $204,200
What We Offer:
  • Competitive benefits and growth opportunities
  • Generous performance-based bonuses
  • 12% 401(k) match
  • Comprehensive health, dental, and vision insurance
  • Tuition reimbursement
  • Professional development and clear career advancement pathways

For more information please visit: Benefits - Avangrid
Job Summary
The Senior Manager - Data & AI Governance role is responsible for establishing, operating, and continuously evolving Avangrid's enterprise Data and Artificial Intelligence governance framework. This role ensures that data, analytics, and AI solutions are designed, deployed, and operated in compliance with ethical standards, regulatory obligations, cybersecurity requirements, and enterprise policies while enabling scalable business value realization across regulated utility operations.
The role serves as the enterprise authority for Data & AI governance, translating regulatory, risk, and responsible AI principles into practical operating controls embedded across the full AI and data lifecycle. The Senior Manager partners closely with Data & AI teams, Enterprise Architecture, IT, Cybersecurity, Legal, Compliance, Risk, and business leaders to balance innovation, speed, and risk management in a highly regulated environment.
Key Responsibilities
Enterprise Data & AI Governance Framework
  • Define, implement, and maintain enterprise-wide Data and AI governance frameworks, standards, and operating models covering data management, analytics, machine learning, and AI solutions.
  • Establish governance structures, decision rights, escalation paths, and accountability models across the Data & AI lifecycle.
  • Operationalize governance controls across architecture, development, deployment, monitoring, and retirement of AI systems.

Responsible AI, Risk, and Compliance
  • Embed Responsible AI principles (fairness, transparency, explainability, accountability, privacy, and security) into AI design and delivery processes.
  • Ensure compliance with applicable regulations and frameworks, including data privacy laws, emerging AI regulations (e.g., US NIST Guidelines, EU AI Act where applicable), cybersecurity standards, and internal policies.
  • Lead AI and data risk assessments, model assurance reviews, and governance checkpoints for priority use cases.
  • Act as a primary liaison to global, legal, compliance, enterprise risk, audit, and external regulators as required.

Lifecycle Oversight & Controls
  • Define and enforce AI and data lifecycle management standards, including data sourcing, training data governance, model validation, monitoring, drift detection, explainability, and decommissioning.
  • Ensure governance alignment across IT, cloud, OT, and analytics platforms, including vendor-managed and third-party AI solutions.
  • Require and validate vendor documentation, transparency, and lifecycle commitments for AI-enabled products and services.

Operating Model & Enablement
  • Partner with Data & AI teams to integrate governance seamlessly into IT delivery workflows (Agile, product, platform, and portfolio processes).
  • Develop governance tooling, templates, playbooks, and artifacts to enable efficient adoption across teams.
  • Provide training, guidance, and advisory support to business, IT, and Data & AI teams on governance requirements and best practices.

Monitoring, Reporting & Continuous Improvement
  • Define KPIs and metrics for governance effectiveness, compliance posture, model risk, and adoption.
  • Maintain governance documentation for audits, regulatory requests, and internal reporting.
  • Monitor evolving regulatory, industry, and technology trends and continuously update standards and controls accordingly.

Required Qualifications
  • Bachelor's in Computer Science, Data Science, Engineering, Information Systems, Law, Ethics, or a related field of study and a minimum of ten (10) years of relevant experience. An equivalent combination of education and experience may be considered.
  • Relevant experience in data governance, AI governance, risk management, compliance, cybersecurity, or advanced analytics environments.
  • Proven experience defining and operating governance frameworks in large, regulated enterprises (utilities, energy, infrastructure, financial services, or similar).
  • Hands-on familiarity with AI/ML development lifecycles and data platforms sufficient to translate regulatory and ethical requirements into practical controls.
  • Experience partnering with legal, compliance, audit, cybersecurity, and enterprise architecture teams.
  • Deep knowledge of Responsible AI principles, data governance, and AI risk management.
  • Strong understanding of data privacy, security, and regulatory compliance requirements.
  • Ability to translate complex regulatory, ethical, and technical requirements into clear, actionable operating standards.
  • Executive-ready communication and stakeholder leadership skills.
  • Strong analytical, documentation, and audit-readiness capabilities.

Preferred Qualifications
  • Master's degree in data science, Engineering, Business, Law, or related discipline.
  • Certifications in data governance, AI ethics, risk, or compliance (e.g., ISO, IEEE, NIST, DAMA, privacy-related).
  • Experience in utilities or other regulated industries, including exposure to operational (OT) environments.
  • Familiarity with enterprise AI platforms, cloud governance, and model risk management tooling.

Competencies (this is standard for all jobs)
  • Growth & Continuous Improvement
  • Initiative & Change
  • Focused on Results
  • Customer Centric (internal and/or External)
  • Communication
  • Collaboration
  • Leadership (people managers/leaders)

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Company:
AVANGRID MANAGEMENT COMPANY, LLC.
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.
At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.
Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.
Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.
Job Posting End Date:
September-12-2026