The AI Solution Lead Analyst is a senior, hands-on leader in Mosaic's AI Office who guides a team in turning high-value business problems into adopted, governed AI solutions with measurable business value across Operations, Supply Chain, Procurement, Commercial and Corporate functions. Working with data scientists, AI/ML engineers, product owners and business process owners, this role leads the technical execution and ensures high-quality delivery of generative AI, computer vision, machine learning and optimization solutions built on Mosaic's enterprise AI platform. The role combines hands-on development support with leadership in applying architectural standards, enforcing code quality, promoting responsible AI and engineering best practices, and developing team members.
Team-Level AI Solution Delivery & Technical Leadership- Lead the end-to-end delivery of AI solutions, from discovery and data readiness through prototype, production and adoption, ensuring alignment with architecture standards and business requirements.
- Guide the design, build, configuration and testing of AI solutions, including generative AI agents, machine learning, computer vision and optimization models, on Mosaic's Microsoft Azure-based enterprise AI platform.
- Partner with data and analytics teams to ensure trusted, AI-ready data from enterprise systems and to translate model outputs into business-ready insights.
- Ensure consistent application of coding standards, design patterns, and responsible AI and security practices to deliver scalable, maintainable and secure solutions.
- Actively support developers and analysts by resolving technical blockers and providing guidance on implementation strategies.
- Conduct code and solution reviews and define evaluation approaches to ensure AI solutions meet quality, performance and cost targets.
- Champion test automation, continuous integration, and continuous delivery (CI/CD) within the team.
- Track adoption and business value of delivered AI products and ensure technical debt is identified and addressed proactively.
- Promote a culture of technical excellence and continuous improvement, staying current on emerging AI capabilities and sharing knowledge across the AI Office.
Agile Collaboration- Participate in and help facilitate Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
- Work closely with the Product Owner and Global Process Owners/business SMEs to understand requirements, map as-is and to-be workflows, define success criteria and KPIs, and ensure technical feasibility.
- Coordinate with other Tech Leads and Architects to align on cross-team dependencies and shared components.
- Collaborate with IT partners (architecture, cybersecurity, infrastructure) and external technology partners (e.g., Microsoft) to lead solution reviews, governance approvals and production readiness.
People Leadership:- Lead, manage, develop and coach the AI delivery team, including onshore and offshore resources.
- Provide timely and constructive feedback on a regular basis to ensure employees have a clear understanding of their work, roles and responsibilities.
- Set goals and ensure that goals are met. Manage performance in accordance with Mosaic's performance review process.
What you'll need:- An Associate's degree in Computer Science, Data Science, Engineering, Mathematics/Statistics, Business, Information Systems or related area
- Bachelor's degree preferred
- 7+ years of experience working with information technologies and systems analysis.
- Strong knowledge of business processes, and how data and software applications support those processes.
- Proven ability to assess business needs and translate them into relevant solutions.
- Strong understanding and knowledge of the principles and practices associated with packaged and/or SaaS applications.
- Experience installing, configuring, documenting, testing, training, and implementing new applications and systems.
- Proven hands-on experience leading the delivery of AI/ML or generative AI solutions (e.g., prompt design, agents, retrieval-augmented generation or machine learning models) from prototype to production in a business setting.
- Strong proficiency in estimation and planning.
- Ability to anticipate and understand business strategies, objectives and priorities.
- Knowledge of agile methodologies and frameworks such as Kanban preferred
- Experience with agent frameworks and protocols preferred
- Experience with computer vision, predictive modeling or mathematical optimization use cases preferred
- Experience in mining, manufacturing, supply chain or procurement environments preferred
- Strong verbal, written, listening and presentation communication skills.
- Ability to present and discuss technical information in a way that establishes rapport, persuades others, and gains understanding with the technical and the business teams.
- Strong organizational and planning skills as well as attention to detail.
- Ability to effectively work and create effective partnerships with employees at all levels within the organization.
- Strong leader that possesses a hands-on, lead by example approach.
- Excellent interpersonal and teamwork skills
- Ability to adapt to a continually changing business and work environment and manage multiple priorities
- Demonstrated critical thinking and decision making skills
- Excellent analysis and problem-solving skills
- Ability to provide oversight across multiple initiatives or projects.
- Ability to handle confidential and sensitive information.
- Ability to explain AI concepts, limitations and risks to non-technical audiences and senior stakeholders.
- Strong understanding of responsible AI principles, data privacy and AI governance.
- Ability to coordinate / manage offshore teams preferred
- Proficient with Microsoft Office (Word, Excel, PowerPoint, Outlook), Visio and Project.
- Specific technology as required by functional area (SAP, Workday, Salesforce, etc.).
- Working knowledge of Python and SQL for data analysis and AI solution development.
- Familiarity with Microsoft Copilot, Power BI, Microsoft Fabric and Azure DevOps.
- Experience with AI-assisted development tools (e.g., GitHub Copilot) preferred
- Experience deploying agents to Microsoft Teams and Microsoft 365 Copilot preferred
- Experience with APIs and data integration with enterprise systems such as SAP preferred
What's in it for you:- A competitive base salary + bonus incentives
- 11 paid holidays each year
- A generous 401k with a company match and annual company contribution
- Paid sick leave
- Paid vacation time
- A robust benefits package which includes Medical, Dental, and Vision insurance, life & disability
- Tuition reimbursement
- Paid Paternity/Maternity Leave
