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Environmental Data Management Jobs in Connecticut

Tata Consultancy Services

Snowflake Admin

Stamford, CT · On-site

$58.50 - $75.75/hr

... Master Data Management (MDM) project, focused on managing and optimizing account data using ... an Agile/Scrum environment. Preferred : • Experience with data governance tools and data ...

Deloitte

AI Data Engineer - Manager

Hartford, CT

$115.50K - $138.70K/yr

This role blends hands-on technical leadership with delivery management and team development ... client environments. Strategic Alignment and Vision * Help define the AI/ML/GenAI technical ...

Deloitte

AI Data Engineer - Manager

Stamford, CT

$122.10K - $146.60K/yr

This role blends hands-on technical leadership with delivery management and team development ... client environments. Strategic Alignment and Vision * Help define the AI/ML/GenAI technical ...

Aon Corporation

Data Solutions Director

Norwalk, CT · On-site

$150K - $200K/yr

Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you ... market data. The salary may also be adjusted based on applicant's geographic location. This ...

Aon Corporation

Data Solutions Director

Norwalk, CT

$150K - $200K/yr

Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you ... market data. The salary may also be adjusted based on applicant's geographic location. This ...

Aon

Data Solutions Director

Norwalk, CT

$150K - $200K/yr

Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you ... market data. The salary may also be adjusted based on applicant's geographic location. This ...

h2m

Environmental Staff Scientist

Windsor, CT

$58K - $75K/yr

We are seeking an Environmental Scientist to join our growing team in Windsor, CT. This position ... in data management and evaluation and preparation of technical reports. * Communicating with a ...

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Environmental Data Management information

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$29.5K

$92.4K

$163.6K

How much do environmental data management jobs pay per year?

As of May 28, 2026, the average yearly pay for environmental data management in Connecticut is $92,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $119,400.00 per year, depending on experience, location, and employer.

What is an Environmental Data Management job?

An Environmental Data Management job involves collecting, organizing, analyzing, and maintaining environmental data related to air quality, water resources, sustainability, and regulatory compliance. Professionals in this field use software tools and databases to ensure data accuracy and accessibility for decision-making. They work with environmental scientists, engineers, and regulatory agencies to support environmental policies and sustainability efforts. Strong analytical skills, knowledge of data management systems, and understanding of environmental regulations are essential for this role.

What are the key skills and qualifications needed to thrive in the Environmental Data Management position, and why are they important?

To thrive in Environmental Data Management, you need a solid background in environmental science, data analysis, and database management, often supported by a related degree. Proficiency with GIS software, data visualization tools, remote sensing technologies, and knowledge of regulatory reporting systems are typically required, with certifications such as GISP or relevant data management credentials being advantageous. Strong attention to detail, effective communication, and problem-solving skills help you excel when coordinating with cross-functional teams. Mastery of these skills ensures accurate, actionable environmental data and compliance with regulatory standards.

What are some typical daily responsibilities for professionals working in Environmental Data Management?

Professionals in Environmental Data Management typically gather, organize, and analyze large datasets from environmental monitoring activities, such as air and water quality assessments. Daily tasks may include managing databases, preparing regulatory compliance reports, updating GIS maps, and developing data visualizations for internal or public use. Collaboration is common with scientists, engineers, and regulatory agencies, requiring regular meetings and clear communication of findings. This role also often involves troubleshooting data inconsistencies and ensuring data integrity, making attention to detail especially important.
More about Environmental Data Management jobs
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Environmental Data Management jobs near you
Director of Data and AI

Director of Data and AI

TicketNetwork

South Windsor, CT • On-site

Full-time

Retirement

Posted 27 days ago

Job description

RCN Capital is a national, direct private lender supporting real estate investors across the country. We're seeking a Director of Data and Artificial Intelligence to define, own, and lead the company's enterprise data, governance, and AI strategy. This role is responsible for transforming data and AI from fragmented tools and isolated efforts into a cohesive, governed, business critical capability that drives operational efficiency, better decision making, and competitive advantage.
RCN has reached a point where data quality, analytics, and AI cannot be implemented by committee. This role serves as the single point of accountability for enterprise data management, governance, and AI-ensuring initiatives are strategically aligned, responsibly governed, and deliver measurable business value.
Responsibilities:
Enterprise Data & AI Strategy
• Define and own RCN Capital's enterprise data and AI vision, strategy, and roadmap, aligned to business priorities and long term growth objectives.
• Serve as the central authority for data governance and AI adoption across the organization.
• Partner with executive leadership to identify how data and AI can transform lending, operations, analytics, and customer experience.
Data Governance, Ownership & Quality
• Establish and enforce an enterprise data governance framework, including principles, policies, standards, and operating model.
• Define clear data ownership, stewardship, and accountability across critical domains (e.g., loans, borrowers, properties, servicing, finance).
• Develop and maintain governance policies covering:
- Data quality (accuracy, completeness, timeliness)
- Data security and access controls
- Data privacy and regulatory compliance
- Data retention and lifecycle management
• Ensure governance is embedded into systems and workflows, preventing bad data at the source rather than correcting it downstream.
• Establish data quality metrics, controls, escalation paths, and dashboards to track improvement over time.
AI Use Case Development & Delivery
• Identify, evaluate, and prioritize high value AI use cases across origination, servicing, capital markets, finance, operations, and corporate functions.
• Lead the design and implementation of:
- Generative AI (LLMs, copilots, agents)
- Predictive and prescriptive analytics
- Automation and decision support solutions
• Ensure AI initiatives move from proof of concept to production grade, scalable capabilities.
Platform, Architecture & Enablement
• Partner with Data, Engineering, Security, and BI teams to ensure AI is built on a sound, governed data foundation and integrates with RCN's enterprise architecture.
• Ensure consistent business definitions and canonical data models to prevent "multiple versions of the truth."
• Evaluate and select data and AI platforms, tools, and vendors-balancing speed of innovation with security, governance, and sustainability.
• Establish reusable patterns for data pipelines, analytics models, and AI enabled applications.
Governance, Risk & Responsible AI
• Define and enforce AI governance standards, including model usage, privacy, security, explainability, and regulatory considerations.
• Ensure compliance with internal policies and external regulations appropriate to financial services.
• Mitigate risks such as hallucinations, bias, uncontrolled automation, or ungoverned model usage.
Organizational Enablement & Change Leadership
• Lead cross functional change by embedding data and AI into real business workflows, not standalone tools.
• Educate executives, managers, and teams on data ownership, governance responsibilities, and AI capabilities.
• Chair or lead enterprise governance forums (e.g., Data & AI Governance Council).
• Act as the internal translator between technical capabilities and business outcomes.
Required Qualifications
Experience
  • 3-5 years of experience across data, analytics, AI, or enterprise technology leadership roles
  • Proven experience implementing data governance as an operating model, not just documentation
  • Demonstrated success delivering AI solutions from strategy through production
  • Experience operating at an executive level in complex or regulated environments

Skills & Expertise
  • Deep understanding of:

  • Data governance, quality, metadata, lineage, and lifecycle management
  • Generative AI, machine learning, and advanced analytics
  • Enterprise data and analytics platforms

  • Strong ability to drive clarity, accountability, and execution in ambiguous environments
  • Executive-level communication and influence skills
  • Pragmatic mindset focused on measurable business impact, not technology for its own sake

Preferred Qualifications
  • Financial services, lending, or regulated industry experience
  • Familiarity with modern cloud-based data and AI platforms
  • Experience standing up a data, AI, or analytics center of excellence
  • Experience partnering with consultants, auditors, or regulators on data and AI initiatives

What Success Looks Like
  • Clearly enforced ownership of RCN's most critical data domains
  • Material improvements in data quality and reduction in downstream remediation
  • AI embedded directly into core operations and decision-making
  • Reduced fragmentation across data and AI initiatives
  • A scalable, governed data and AI foundation that supports long-term growth

Schedule and Work Model:
  • Full-time, Monday-Friday, 9:00 AM - 6:00 PM
  • Hybrid work model: 2 days per week in office
  • First 90 days onsite for training and onboarding

Why RCN Capital:
  • Growth-oriented environment with opportunities to expand your legal skill set
  • Ongoing training and development
  • Casual dress policy
  • Free food and beverage program
  • Competitive benefits, including 401(k)
  • And many additional perks

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 notice from the Department of Labor.

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