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Senior Director Data Science Jobs in Minnesota (NOW HIRING)

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

Data Science Analyst

Rochester, MN · On-site

$102K - $143K/yr

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: • Provides data ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist. Other responsibilities: Provides data ...

Senior Data Science Analyst - DLMP

Rochester, MN · On-site

$87K - $110K/yr

May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist. Other ...

About the Role We are seeking an experienced Senior Data Scientist to join a collaborative ... fast-paced data science team focused on delivering measurable business value through machine ...

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Senior Director Data Science information

What does a senior director of data science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a senior director of data science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What are the key skills and qualifications needed to thrive as a senior director data science, and why are they important?

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What are popular job titles related to Senior Director Data Science jobs in Minnesota?

For Senior Director Data Science jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Senior Director Data Science jobs in Minnesota look for?

The top searched job categories for Senior Director Data Science jobs in Minnesota are:

What cities in Minnesota are hiring for Senior Director Data Science jobs?

Cities in Minnesota with the most Senior Director Data Science job openings:

Infographic showing various Senior Director Data Science job openings in Minnesota as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 80% In-person, and 20% Remote job distribution.

Sr. Director, AI & Data Science

Veracity Software Pvt. Ltd.

Wayzata, MN • On-site

Full-time

Re-posted 13 days ago


Job description

Job Summary:
Veracity Software Pvt. Ltd. is seeking a visionary leader for the role of Sr. Director, AI & Data Science. This role is responsible for uncovering and enabling high-impact applications of artificial intelligence across the business, partnering with leaders to identify innovative opportunities and ensuring responsible AI practices are embedded in every initiative.
Responsibilities:
• Partners with business leaders to identify and accelerate AI opportunities through re-imagining how work is performed, embracing new and modern optimization techniques and changing the pace by which business value is realized.
• Translates complex AI capabilities into compelling business narratives, presenting to and influencing non-technical audiences and senior stakeholders to drive informed strategic decisions and foster confidence in AI-driven innovation.
• Provides strategic direction of product delivery to ensure scope, timeline and budget are prioritized and in compliance with related regulations and policies.
• Leads all aspects of ongoing efforts to guide and improve artificial intelligence and data science design & development practices, champions a culture of innovation and continuous improvement within the organization and partners with key team members to drive artificial intelligence literacy and adoption.
• Develops and sponsors a community of practice of global data scientists to drive reuse, awareness and alignment to further the company's adoption and value through analytics solutions.
• Presents and sells artificial intelligence solutions to non-technical audiences to influence strategic related decisions.
• Accountable for delivering measurable business outcomes from artificial intelligence investments, with responsibility for handling a significant budget and achieving defined value impact targets.
• Builds strategic partnerships and alliances with key business and industry entities to achieve organizational objectives and improve the value of investments.
• Manages team members to achieve organization goals, provides technical coaching & guidance, drives accountability for high performance and develops and sustains an environment for data scientists to thrive in an inclusive culture.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor's degree in data science, computer science, math, engineering or related field or equivalent experience
• Minimum of eight years of related work experience
• Experience in a minimum of two machine learning algorithms approaches: unsupervised, supervised and reinforcement learning
• Confirmed ability to present to non-technical audiences
Preferred:
• Master's degree or PhD in data science, computer science, math, engineering or related field
• Five years of experience leading teams
• Experience driving analytics adoption and mobilizing business transformation through AI adoption
• Broad expertise of business processes and functions
• Proficient in communicating to senior executives on opportunity and value, relating to the audience at hand
• Experience working with continuous integration and delivery (CI/CD) pipelines
• Experience working with distributed computing frameworks
• Experience working with AWS
• Experience in software development environment and code management or versioning
• Experience in agriculture
Company:
At Veracity, if you have an idea you want to validate, a product you need to build, or an existing product that needs optimization, our teams are trained to jump in wherever needed. Founded in 2010, the company is headquartered in Iselin, USA, with a team of 51-200 employees. The company is currently Growth Stage.