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Data Science Manager information

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$33K

$103.3K

$182.9K

How much do data science manager jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data science manager in Vermont is $103,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,200.00 and $133,400.00 per year, depending on experience, location, and employer.

What is the hottest job of the 21st century?

Data Science Manager is considered one of the most in-demand roles of the 21st century due to the rapid growth of data-driven decision making. These professionals oversee data teams, develop analytics strategies, and require skills in programming, statistics, and leadership. The role often involves working with tools like Python, R, and cloud platforms, and staying current with emerging technologies is essential.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance and efficiency.

What is the salary of a data science manager?

The salary of a data science manager typically ranges from $100,000 to $160,000 annually, depending on experience, location, and company size. Senior managers or those in high-cost areas may earn higher compensation, often including bonuses and stock options.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

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

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Vermont? The most popular types of Data Science jobs in Vermont are:
What job categories do people searching Data Science Manager jobs in Vermont look for? The top searched job categories for Data Science Manager jobs in Vermont are:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Vermont as of June 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $103,289 per year, or $49.7 per hour.

Data Governance Manager

University of Vermont Health - UVM Medical Center

Winooski, VT

Full-time

Posted 6 days ago

Job description

Job Summary:
The Data Governance Manager leads UVM Health's enterprise data governance program within the Enterprise Analytics department. This role is responsible for establishing, maintaining, and operationalizing data standards, policies, metric definitions, and data stewardship processes that ensure the organization's data is trusted, well-defined, and consistently used. The Data Governance Manager develops and maintains the Enterprise Analytics SharePoint site — the organization's one-stop resource for report catalogues, data and metric definitions, data access requests, and governance documentation — and ensures that metric definitions and reporting standards are adhered to across all analytics deliverables.

Education:
•    Bachelor's degree in Health Informatics, Data Science, Business Administration, or related field required; Master's preferred.

Experience:
•    5+ years of experience in data governance, data management, or health informatics.
•    Experience developing and maintaining enterprise data governance frameworks, data dictionaries, or data catalogs.
•    Experience with SharePoint site development and content management.
•    Familiarity with Epic data environments and Power BI, Tableau, or other data visualization tools governance preferred.
•    Experience working in agile product delivery preferred.

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