Senior Manager, AI Enablement

Ocean Spray Cranberries

Sr. Manager drives AI strategy and execution for Ocean Spray's enterprise AI initiatives.

Posted 5/2/2026full-timeLakeville • Massachusetts • 🇺🇸 United StatesSenior💰 $128,000 - $176,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudCyber SecurityPythonSQL

About the role

Key responsibilities & impact

Develop and refine the enterprise AI strategy in alignment with cooperative business priorities
Identify, assess, and prioritize high‑impact AI opportunities across Commercial, Operations, Supply Chain, Finance, Corporate, and IT
Build business cases that quantify expected outcomes, ROI, risks, and success metrics
Lead execution of the AI portfolio to ensure delivery of measurable value
Strengthen AI governance, security, and responsible AI practices
Provide clear updates, portfolio reporting, and executive communications
Partner with Data Engineering, Cloud/Infrastructure, Enterprise Applications, Data Governance, and Cybersecurity teams to architect scalable AI solutions
Contribute hands‑on to solution design, prototyping, model evaluation, and prompt engineering
Support implementation of MLOps and model lifecycle practices with platform teams
Ensure operationalization, monitoring, and performance optimization of AI solutions
Provide technical direction to data scientists, ML engineers, IT product owners, and other contributors
Serve as a champion for AI awareness and adoption across the cooperative, especially focusing on embedding Microsoft Copilot, SAP, Workday and other approved tools into processes and workflows
Support change management efforts to drive adoption of AI-enabled improvements
Build strong partnerships with internal stakeholders and external vendors to introduce leading tools and methods
Foster a collaborative, learning-oriented team environment

Requirements

What you’ll need

Strong understanding of AI/ML concepts (supervised/unsupervised learning, NLP, generative AI, optimization, predictive modeling)
Ability to prototype or evaluate AI models and prompts using tools such as Python and SQL
Familiarity with enterprise AI platforms, cloud technologies, MLOps, and responsible AI frameworks
Solid knowledge of data engineering fundamentals, data quality, and integration
Experience with enterprise systems such as SAP S/4HANA, SAP IBP/SAC, Microsoft 365 Copilot, Maximo or SAP EAM/APM, Workday, and Azure services
Strong ability to evaluate business needs and size opportunities
Skilled at translating complex technical concepts into business-friendly language
Capable of managing complex initiatives while balancing short‑ and long‑term priorities
Proven ability to lead, coach, and develop AI talent
Strong cross-functional influence and stakeholder management skills
Sound decision-making and adaptability in dynamic environments
Excellent written and verbal communication skills for technical and executive audiences
Able to articulate value, risks, progress, and recommendations clearly
Experience supporting change management related to AI adoption

Benefits

Comp & perks

Complete insurance package on Day-1 that includes a plethora of health and wellness programs
Health, Dental and Vision insurance
Health savings account
Flexible spending account
Life and accident insurance
Employee assistance program
Telehealth services
1:1 health coaching
Supportive benefits for all the stages of your life
401(k) with up to 6% Company matching; additional potential discretionary match at year-end
Short-Term Incentive/Performance bonuses
Flexible scheduling options
Vacation pay, up to three weeks of time (pro-rated for your first year of employment)
Holiday pay for 12 holidays
Career development and growth opportunities
Tuition/Education assistance programs
Access to LinkedIn Learning
Scholarship programs for children of employees
Parental leave
Bright Horizons Family Solutions – Back-up care, tutoring, etc.
Adoption assistance
Bereavement leave
Up to $300 fitness reimbursement
Up to $300 massage reimbursement
Employee appreciation events
Employee discounts
Charitable giving

ATS Keywords

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Hard Skills & Tools

AI conceptsML conceptsNLPgenerative AIpredictive modelingPythonSQLMLOpsdata engineeringdata quality

Soft Skills

stakeholder managementcross-functional influencedecision-makingadaptabilitycommunication skillschange managementcoachingcollaborationbusiness evaluationtechnical translation