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Director Data Jobs in Springfield, MA (NOW HIRING)

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

TicketNetwork

Director of Data and AI

South Windsor, CT · On-site

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 ...

MANTECH

Senior Data Scientist

Springfield, MA

Ensure all sensor data adheres to Government directed data schemas, formats, and governance requirements * Assess potential differences in metadata, data format, and data structure characteristics ...

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 insurance company that goes well beyond coverages and policies. Working here means having every opportunity ...

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting ...

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All JobsData JobsDirector Data JobsDirector Data Jobs in Springfield, MA

Director Data information

See Springfield, MA salary details

$51.8K

$128.1K

$199.3K

How much do director data jobs pay per year?

As of Jul 9, 2026, the average yearly pay for director data in Springfield, MA is $128,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $162,900.00 per year, depending on experience, location, and employer.

What does a Director of Data do?

A Director of Data oversees an organization's data strategy, ensuring the effective collection, management, and use of data across departments. They lead data teams, set data governance policies, and work to align data initiatives with business goals. Their role includes managing data architecture, ensuring data quality and security, and supporting data-driven decision making. Directors of Data often collaborate with executives and IT teams to drive innovation and improve business outcomes through analytics and data insights.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

How does a Director of Data typically collaborate with other departments to drive business objectives?

A Director of Data regularly partners with teams such as marketing, product, finance, and operations to ensure data-driven decision-making across the organization. They help translate business goals into data initiatives, oversee the collection and analysis of relevant data, and present actionable insights to stakeholders. Strong cross-functional collaboration is essential, as the Director often leads data governance initiatives and aligns data strategy with company-wide objectives. This role requires both technical expertise and effective communication skills to bridge gaps between technical teams and non-technical departments.

What are the key skills and qualifications needed to thrive as a Director of Data, and why are they important?

To thrive as a Director of Data, you need deep expertise in data management, analytics, and strategy, supported by an advanced degree in a quantitative field and substantial leadership experience. Proficiency with data platforms (such as SQL, Hadoop, and cloud services), data governance frameworks, and often certifications like CDMP or cloud certifications is expected. Exceptional communication, strategic thinking, and team leadership skills distinguish top performers in this role. These skills ensure effective data-driven decision-making, alignment with business goals, and successful leadership of cross-functional data teams.
What are the most commonly searched types of Data jobs in Springfield, MA? The most popular types of Data jobs in Springfield, MA are:
What job categories do people searching Director Data jobs in Springfield, MA look for? The top searched job categories for Director Data jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Director Data jobs? Cities near Springfield, MA with the most Director Data job openings:
Director Data jobs near you
Director, Data Platforms

Director, Data Platforms

Farm Credit Financial Partners, Inc.

Springfield, MA

Full-time

Re-posted 28 days ago

Job description

POSITION SUMMARY: The Director of Data Platforms is the technology leader responsible for the vision, strategy, operations, and continuous improvement of Farm Credit Financial Partners' enterprise data ecosystem.

This role defines and drives FPI's Lakehouse strategy, Databricks adoption, data engineering direction, observability, AI enablement, data availability, and platform modernization, ensuring secure, accurate, and timely data delivery for all ACA customers and internal stakeholders. The Director of Data Platforms owns the strategic roadmap for data ingestion, transformation, quality, integration, lineage, metadata, storage, and platform reliability. This leader ensures FPI's data systems meet financial services-grade SLAs, are ready for AI and advanced analytics, and support the evolving needs of Farm Credit institutions.

DUTIES AND RESPONSIBILITIES:

Strategic Platform Vision & Architecture

  • Define the multi-year data platform strategy, including modernization, AI enablement, governance integration, and cloud-native capabilities.
  • Own the technical strategy of the Lakehouse environment
  • Ensure platform design meets financial-sector requirements for availability, resiliency, auditability, and scale.
  • Drive the adoption of modern data engineering patterns (streaming, automation, MLOps, domain-oriented modeling, Data Lake best practices).

Leadership of Data Engineering & Platform Operations.

  • Ensure robust monitoring, observability, alerting, and incident management across all data flows.
  • Oversee the performance and daily operational SLAs, including the critical ACA data availability window.
  • Serve as the organizational owner of Databricks strategy, engineering standards, and optimization.
  • Ensure secure, well-governed, cost-optimized use of computers and storage.
  • Build platform capabilities to support advanced analytics and enterprise AI (GenAI and ML).

Governance, Risk, Security, and Compliance Integration

  • Partner closely with Data Governance, Security, and Compliance teams to embed controls into platform design.
  • Ensure platforms support end-to-end lineage, metadata accuracy, and audit-ready documentation.
  • Oversee access management, data contracts, schema controls, and segregation-of-duties policies.
  • Build scalable governance automation into engineering workflows.

Organizational & Cultural Leadership

  • Establish a culture of reliability, automation-first engineering, operational excellence, and innovation.
  • Drive transformation from legacy approaches to modern, cloud-based, AI-enabled data platform methods.

MANAGERIAL FUNCTIONS

  • Oversee daily team operations to ensure alignment with organizational policies while facilitating effective communication, collaboration, continual improvement, and knowledge sharing within the team and across organization.
  • Provide clear direction, goals, and priorities to direct report(s) while mentoring them to enhance their skills and support their professional development
  • Foster a positive and inclusive work environment that supports employee engagement.
  • Address conflicts with professionalism and fairness, serving as the first point of contact for employee(s) communication and escalating issues appropriately in collaboration with HR when necessary.
  • Ensure employee(s) adherence to organizational policies and procedures by promoting and modeling compliance with labor laws, workplace standards, and ethical practices in all people management activities.
  • Manage administrative responsibilities, including reviewing and approving weekly timecards, processing time-off requests, tracking compliance tasks, and supporting team adherence to organizational policies and deadlines.
  • Conduct performance reviews by setting and communicating clear expectations and objectives, monitoring performance against goals, providing continuous feedback, and addressing performance issues promptly and effectively.
  • Oversee talent management processes for reports, including hiring, termination, performance evaluations, and pay reviews, ensuring alignment with unit objectives and adherence to company policies and procedures.

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