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Director Data Management Jobs in Springfield, MA

ARIVONIX.AI

Sales Director

Hartford, CT · Remote

$100K - $140K/yr

Enterprise Sales Director (Insurance/ InsureTech) - (Remote / Hybrid) - Preferred Locations: US ... Comfort in mapping data workflow/management gaps to technical solutions * Strong proficiency in ...

ARIVONIX.AI

Sales Director

Hartford, CT · Remote

$100K - $140K/yr

Enterprise Sales Director (Insurance/ InsureTech) - (Remote / Hybrid) - Preferred Locations: US ... Comfort in mapping data workflow/management gaps to technical solutions * Strong proficiency in ...

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

Dir Data Engineering - GE06AE We're determined to make a difference and are proud to be an ... Stakeholder & Risk Management: Serve as a trusted point of contact for sponsors and leaders ...

Kemper

Data Science Manager

Hartford, CT · Hybrid

This role includes direct people leadership responsibilities, including coaching, mentorship, and performance management Position Responsibilities: * Manages a small team of data scientists and data ...

MANTECH

Senior GEOINT Data Scientist

Springfield, MA

Working with Program Managers and Product Owners to translate road map features into components ... Demonstrated experience in directing activities of highly skilled technical and analytical teams ...

LIMRA AND LOMA

Assistant Research Director

Windsor, CT · On-site

We are seeking an Assistant Research Director, Compensation Research to join our Compensation ... You will design and manage research projects of moderate complexity, enhance data accuracy, and ...

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All JobsData Management JobsDirector Data Management JobsDirector Data Management Jobs in Springfield, MA

Director Data Management information

See Springfield, MA salary details

$52.6K

$150.7K

$237.5K

How much do director data management jobs pay per year?

As of Aug 14, 2026, the average yearly pay for director data management in Springfield, MA is $150,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,100.00 and $184,400.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Management vs Data Analyst?

AspectDirector Data ManagementData Analyst
Required CredentialsBachelor's or Master's in Data Science, IT, or related field; often with leadership experienceBachelor's in Statistics, Data Science, or related field; often entry to mid-level experience
Work EnvironmentStrategic leadership, overseeing data teams, managing data governanceData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageUsed in large corporations, tech, finance, healthcareCommon across industries for data-driven roles

The main difference is that a Director Data Management focuses on strategic oversight, data governance, and leading data teams, while a Data Analyst primarily handles data analysis, reporting, and supporting business decisions. The Director role involves higher-level management and planning, whereas Data Analysts execute specific data tasks.

More about Director Data Management jobs

What are the most commonly searched types of Data Management jobs in Springfield, MA?

The most popular types of Data Management jobs in Springfield, MA are:

What job categories do people searching Director Data Management jobs in Springfield, MA look for?

The top searched job categories for Director Data Management jobs in Springfield, MA are:

What cities near Springfield, MA are hiring for Director Data Management jobs?

Cities near Springfield, MA with the most Director Data Management job openings:

Director Data Management jobs near you
Infographic showing various Director Data Management job openings in Springfield, MA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $150,735 per year, or $72.5 per hour.

Director of Data and AI

RCN Capital LLC

South Windsor, CT • On-site

Full-time

Retirement

Re-posted 15 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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