Sr. Director, AI & Data Science - Minneapolis - to $300K + bonus
Intermedia Group, Inc.
- Wayzata, MN
- Permanent
- Full-time
LOCATION: Wayzata, Minnesota (Minneapolis suburb)
***Relocation Assistance Available
SALARY: $190,000 to $300,000
BONUS ELIGIBLEOur client is a leading American multinational food corporation – (180 billion revenue, 160,000 employees)Ideal Candidate
- Data Science, AI, Analytics + industry experience (Commercial, Sales, Agriculture)
- Experience being a strategic champion to drive AI at scale – success measured by compounding value
- The role requires collaboration with senior leaders to discuss AI and data science possibilities in business terms, modernize processes, and improve efficiency. The individual is expected to be a thought leader in data science and demonstrate emotional intelligence (EQ).
- The individual is accountable for leading a team of 16 data scientists to deliver data science solutions and models. They are transitioning from a regional role to a global team.
- The role will be located in Wayzata, MN (relocation available for candidates outside of Minnesota)
- The Sr. Director of AI & Data Science is a visionary leader responsible for uncovering and enabling differentiated, high-impact applications of artificial intelligence across the business.
- This role partners closely with business leaders to identify innovative opportunities where AI can be a strategic differentiator, fueling competitive advantage and driving measurable outcomes.
- Beyond leading the development and deployment of AI solutions, this role plays a critical part in shaping how AI can transform decision-making, operations, and customer experiences.
- The Sr. Director also champions responsible AI practices, ensuring governance, risk mitigation, and ethical use of AI are embedded in every initiative.
- With a focus on business value, quality, and foresight, this role drives cross-functional collaboration to turn AI potential into sustainable impact.
- 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.
- 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
- 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
- Full MS WORD Resume
- Required compensation
- Contact information
- Availability
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