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Director Machine Learning Jobs in Vermont (NOW HIRING)

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Direct the team through complexity, demonstrating composure through ambiguous, challenging and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

... learning community. This is a full-time, benefits eligible, salaried position with a hiring range ... Regularly operates a computer and other office productivity machinery. Must be able to remain in a ...

Residence Director

Middlebury, VT · On-site

$49.31K - $58.47K/yr

... learning community. This is a full-time, benefits eligible, salaried position with a hiring range ... Regularly operates a computer and other office productivity machinery. Must be able to remain in a ...

Residence Director

Middlebury, VT · On-site

$49.31K - $58.47K/yr

... learning community. This is a full-time, benefits eligible, salaried position with a hiring range ... Regularly operates a computer and other office productivity machinery. Must be able to remain in a ...

Custodian Specialist

Burlington, VT · On-site

$14.25 - $18.25/hr

Maintain safe and clean living, learning and work environment. Remove trash and recycled items. May ... Under the direct supervision of the Custodial Supervisor, support our department's mission ...

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Director Machine Learning information

See Vermont salary details

$38.3K

$97.7K

$149.9K

How much do director machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for director machine learning in Vermont is $97,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $112,700.00 per year, depending on experience, location, and employer.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.
What are the most commonly searched types of Machine Learning jobs in Vermont? The most popular types of Machine Learning jobs in Vermont are:
What are popular job titles related to Director Machine Learning jobs in Vermont? For Director Machine Learning jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Director Machine Learning jobs in Vermont look for? The top searched job categories for Director Machine Learning jobs in Vermont are:
What cities in Vermont are hiring for Director Machine Learning jobs? Cities in Vermont with the most Director Machine Learning job openings:
Director, Advanced Analytics & Governance

Director, Advanced Analytics & Governance

National Life Group

Montpelier, VT • On-site

Full-time

Posted 24 days ago


National Life Group rating

9.0

Company rating: 9.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

35th of 259 rated insurance


Job description

Job Summary:
National Life Group is one of America’s fastest-growing insurance companies, focused on providing families with stability. The Director, Advanced Analytics & Governance is a senior leadership role responsible for driving the maturation of the organization’s analytics and reporting capabilities, leading a team to deliver high-impact solutions while ensuring data governance and compliance.
Responsibilities:
• Evolve and execute the enterprise strategy for advanced analytics and reporting governance in alignment with the overall CDO vision and business objectives.
• Lead the design, development, and deployment of advanced analytics solutions — including predictive modeling, machine learning, deep learning, and optimization — and oversee the end-to-end analytics lifecycle from problem framing through model deployment and monitoring.
• Mature and scale the enterprise analytics platform and self-service analytics environment to empower business users while maintaining governance controls.
• Oversee production support and administration of the data analytics systems, ensuring reliability, availability, and operational excellence across the environment.
• Continuously refine and strengthen the enterprise analytics governance framework, including policies, standards, quality metrics, SLAs, metadata management, and remediation processes.
• Lead reporting stewardship programs and ensure clear ownership and accountability across business and technology teams; oversee compliance with data-related regulations (GDPR, CCPA/CPRA, HIPAA, etc.) and internal policies for privacy, security, and ethical data usage.
• Build, mentor, and lead the Business Informatics team, manage talent acquisition, performance management, career development, and succession planning.
• Partner with business leaders, IT, and other CDO functions to identify high-value use cases where advanced analytics can drive revenue, efficiency, customer experience, or risk mitigation.
• Act as a trusted advisor to the CDO and executive leadership; present complex analytics findings and governance strategies to senior executives and non-technical stakeholders in clear, actionable terms.
• Evaluate and recommend analytics and governance tools and technologies (e.g., Tableau, Power BI, Databricks) and drive adoption of modern analytics and reporting architectures leveraging the enterprise data platform.
• Champion a data-driven culture by deepening adoption of analytics insights and governed data assets across the organization.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Information Systems, Analytics, or a related quantitative field
• 10+ years of progressive experience in data analytics, data science, or data governance, with at least 5+ years in a leadership role
• Proven track record of advancing and scaling advanced analytics capabilities in a complex organization
• Strong experience refining and operating enterprise analytics governance programs, including data quality, metadata, and compliance frameworks
• Analytical mindset with the ability to navigate ambiguity in decision making and to translate complex technical concepts into business language
Preferred:
• Deep expertise in modern data platforms (cloud, Databricks, Snowflake, etc.)
• Strong knowledge of programming languages such as Python, R, and SQL, and big data technologies (Spark, Hadoop, etc.)
• Experience with MLOps, model lifecycle management, data cataloging, lineage, and quality management platforms
• Familiarity with cloud platforms (AWS, Azure, GCP) and modern data architectures
• Experience working in a Chief Data Office (CDO) or similar central data organization
• Industry experience in Life Insurance
• Certifications such as CDMP (Certified Data Management Professional), DAMA, or analytics governance certifications
Company:
National Life Group offers life insurance, and annuity products to help individuals, families and businesses pursue financial needs. Founded in 2006, the company is headquartered in Montpelier, USA, with a team of 1001-5000 employees. The company is currently Late Stage.