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Director Data Analyst Machine Learning Jobs in Springfield, MA

Sr. Data Scientist

Hartford, CT · On-site +1

$101K - $203K/yr

... machine learning, and statistical analyses. Telecommuting available. Multiple Positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Data Science, Statistics ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from ...

... with machine learning, AI, and cognitive service engine models • Experience with programming ... Using analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite) • ...

Senior Data Engineer

Bloomfield, CT · On-site

$105K - $143K/yr

Analyze source data and data flows, working with structured and unstructured data. * Build data ... Understanding of Machine learning frame works (e.g. Scikit learning, Scipy) * Understanding and 1+ ...

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Director Data Analyst Machine Learning information

See Springfield, MA salary details

$33.9K

$82.4K

$135.5K

How much do director data analyst machine learning jobs pay per year?

As of Jul 9, 2026, the average yearly pay for director data analyst machine learning in Springfield, MA is $82,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,700.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Springfield, MA? For Director Data Analyst Machine Learning jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Springfield, MA look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Director Data Analyst Machine Learning jobs? Cities near Springfield, MA with the most Director Data Analyst Machine Learning job openings:
Principal Data & Analytics Architect

Principal Data & Analytics Architect

Cigna

Bloomfield, CT • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Cigna Healthcare rating

8.4

Company rating: 8.4 out of 10

Based on 232 frontline employees who took The Breakroom Quiz

29th of 880 rated healthcare providers


Job description

The Principal Data & Analytics Architect is a senior technology leader responsible for shaping the company's data, analytics, and AI strategy. This role works closely with business and technology leaders to design solutions that help teams make better decisions using trusted data. The person in this role develops long-term plans for data and analytics platforms, promotes best practices, and supports innovation across the organization. This is an individual contributor role that requires strong leadership, strategic thinking, and the ability to influence teams and leaders across the enterprise.

Responsibilities:
  • Develop and maintain the company's data and analytics architecture strategy and future-state roadmap.
  • Design scalable data platforms that support reporting, analytics, artificial intelligence (AI), and machine learning (ML).
  • Create standards and best practices for collecting, storing, integrating, and sharing data.
  • Partner with business and technology teams to align data solutions with company goals.
  • Support self-service reporting, business intelligence, and advanced analytics capabilities.
  • Ensure data solutions meet security, privacy, compliance, and governance requirements.
  • Establish architecture standards, design patterns, and reusable solutions across the enterprise.
  • Evaluate emerging technologies and recommend opportunities to improve data and analytics capabilities.
  • Guide architecture decisions for large-scale data and analytics initiatives.
  • Promote modern practices such as DataOps, MLOps, automation, and cloud-based data solutions.
  • Work with engineering and product teams to deliver scalable, reliable, and cost-effective solutions.
  • Mentor technical teams and share architecture best practices across the organization.
Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in data architecture, enterprise architecture, data engineering, analytics, or related technology roles.
  • Experience creating enterprise-wide data and analytics strategies and technology roadmaps.
  • Strong knowledge of modern data platforms and cloud technologies.
  • Experience working in large, complex, and regulated organizations.
  • Strong communication and leadership skills with the ability to influence decision-making across multiple teams.
  • Experience with:
    • Cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP)
    • Data lakehouse, data mesh, or data fabric architectures
    • API and event-driven architectures
    • Data governance, security, privacy, and compliance frameworks
    • AI, machine learning, and advanced analytics technologies

Preferred:

  • Experience leading enterprise data transformation initiatives.
  • Experience supporting AI-enabled business solutions.
  • Experience within healthcare, insurance, financial services, or other regulated industries.
  • Experience developing architecture standards and mentoring technical teams.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 151,600 - 252,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus and long term incentive plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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