Role Description The Senior Manager, Enterprise AI Enablement provides central management of the Microsoft M365 Copilot environment and leads enterprise AI enablement by establishing governance, standards, and lifecycle management for secure, scalable AI solutions. This role partners across departments to identify and prioritize high-value Copilot agents and workflow opportunities, then designs, deploys, and continuously enhances reusable enterprise solutions. The position also collaborates with Technology, Security, Privacy, and Data Governance stakeholders to ensure responsible AI practices, compliance, and data quality while supporting user adoption through training, guidance, and performance measurement. This role has enterprise-wide impact by influencing how AI and Copilot capabilities are governed, deployed, adopted, and improved across departments. It operates as a central platform owner, enterprise enablement lead, and solution builder. Decisions made in this position affect productivity, solution quality, data usage practices, compliance, and the consistency of AI-enabled workflows. Key Responsibilities - Own and evolve the enterprise Microsoft M365 Copilot platform to drive measurable productivity, quality, and mission impact across the organization. - Partner across departments to identify and prioritize shared AI agent and workflow opportunities and translate business needs into scalable enterprise solutions. - Design, develop, deploy, and provision Copilot agents and related workflows using approved enterprise AI tools. - Define and track enterprise AI KPIs. Build Dashboards on AI usage, value, and risk. - Provide training, consultation, user support, and best-practice guidance for responsible AI usage and Copilot adoption. - Apply analytics, generative AI, and data science methods to assess use cases, evaluate performance, measure impact, and guide continuous improvement. - Establish and maintain standards, documentation, and governance processes for security, compliance, access, and lifecycle management. - Serve as an internal subject matter expert on Microsoft Copilot, generative AI, and enterprise automation trends. Qualifications - Bachelor’s degree in analytics, data science, computer science, information systems, business intelligence, or a related field required. - Degree in data science preferred. - Equivalent combinations of education and directly related experience may be considered. - Experience working with Large Language Models (LLMs) from OpenAI, Anthropic, or comparable platforms, including practical application in enterprise use cases. - 7+ years of progressively responsible experience in analytics, generative AI, data science, or related business intelligence functions. - Some people management or team leadership experience appropriate for a Senior Manager-level role required. Knowledge, Skills, and Abilities - Advanced knowledge of analytics, generative AI, data science concepts, and enterprise AI solution delivery. - Strong proficiency with Microsoft M365 Copilot Enterprise, Copilot Development Studio, Azure AI Studio, and related Microsoft ecosystem tools. - Strong understanding of Large Language Model (LLM) concepts, including prompt design, grounding techniques, model selection trade-offs, and applying different model types to appropriate enterprise use cases. - Ability to collaborate cross-functionally, translate business needs into AI-enabled workflows, and manage governance and deployment. - Strong communication, training, stakeholder engagement, and change management skills. - Tableau experience preferred. Benefits - Comprehensive benefits package including medical, dental, and vision insurance. - Life insurance and flexible spending accounts. - 403b retirement plan along with generous paid time off. - Observation of federal paid holidays throughout the year. - Wellness program and employee assistance program. Employee Value Proposition We are excited to share the base pay range for this position is $96K to $139K. The offered compensation may vary based on factors such as geographic location, business need, market conditions, proficiencies, skills, education, and experience. Additionally, at Blood Cancer United we place a high value on internal pay equity and will consider the current compensation of similarly situated roles and direct team members. Base compensation is only one component of our Total Rewards program, which also includes an annual incentive plan and a competitive benefits package. Disclaimer Blood Cancer United is an equal employment opportunity employer committed to diversity and inclusion in its workplace. All qualified applicants will receive consideration for employment without regard to sex, gender, gender identity and expression (including transgender status), sexual orientation, pregnancy, age, race, color, creed, national origin/ancestry, citizenship, religion, genetic predisposition or information, physical or veteran status, or any other characteristic protected by law.

• Define and maintain the roadmap for the digital workplace stack: M365, Box, Claude, Copilot, and Power Platform • Evaluate new tools and platform capabilities; make recommendations on where to invest, expand, or sunset • Manage day-to-day vendor operations with Anthropic, Microsoft, and other digital workplace platform providers • Oversee license management, provisioning, and cost optimization across all platforms • Drive adoption of AI tools across the digital workplace portfolio, identifying high-impact use cases • Contribute to AI governance processes and policy updates by providing platform-level insight, usage data, and operational perspective to the AI Risk & Governance Committee • Lead and manage the Digital Workplace team, including platform administrators and support staff

Role Description The Senior Global Category Manager is responsible for developing and executing global procurement strategies with third-party suppliers in support of Fresenius Medical Care’s One Procurement strategy. This senior leadership role drives end-to-end category management, strategic sourcing, high-stakes supplier negotiations, complex contracting, and ongoing supplier lifecycle management for the IT Software portfolio. - Enterprise software - Software-as-a-Service (SaaS) - Cloud applications - Emerging Artificial Intelligence (AI) and AI-as-a-Service (AIaaS) solutions The role coordinates closely with Procurement Partners, IT Architecture, and senior stakeholders to elevate procurement from a transactional function to a strategic enabler, integrating early into budgetary and architectural planning. Qualifications - Bachelor’s Degree in a technical field (Computer Science, Information Systems), Business Administration, or Supply Chain Management required. - MBA or Master’s degree in a related field is highly desired. - CPSM (Certified Professional in Supply Chain Management), CIPS, or professional certifications in Software Asset Management (CSAM) or AI procurement are a strong plus. Requirements - Minimum of 8 to 10 years of progressive experience in Strategic Sourcing and Category Management. - Proven, hands-on experience sourcing and negotiating AI-driven platforms, automated analytics tools, or advanced technology consulting services. - Demonstrated ability to lead, influence, and partner effectively with senior technology executives and C-level stakeholders. - Exceptional capacity to navigate high-ambiguity environments. - High proficiency in financial modeling, software license compliance analytics, and interpreting complex spend visibility dashboards. - Proven experience working in and managing virtual, geographically dispersed, cross-cultural sourcing teams. - Expert negotiation skills, with documented success in executing high-impact, multi-million-dollar enterprise software agreements. - Strong project management expertise with familiarity in Agile frameworks. - Absolutely fluent in English (written and spoken) with exceptional presentation capabilities. Benefits - Standard corporate office environment or approved remote/hybrid setup. - 5% – 10% international and domestic travel is required.

Role Description A Senior AI Engineer & AI Enablement Consultant responsible for designing, building, and deploying production-grade AI applications across web, mobile, and desktop platforms, with full ownership of the end-to-end lifecycle from concept and architecture through to cloud deployment and scaling. The role involves leveraging modern AI technologies, including: - Large language models - Multimodal systems - Semantic search - Agent-based workflows to deliver high-impact business solutions, while also developing full-stack applications using technologies such as: - TypeScript - Python - React - Cloud-native infrastructure on platforms like Google Cloud This position requires deep expertise in: - Integrating AI into real-world products - Optimizing performance and cost - Building automation pipelines for tasks such as content generation and business process workflows Additionally, the role serves as a strategic advisor on AI enablement, guiding stakeholders on: - Model selection - System design - Implementation of scalable, secure, and performant AI solutions that translate advanced capabilities into measurable business outcomes Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) - 10+ years of experience in software engineering, with a strong recent focus in AI/ML development Requirements - Hands-on experience building and deploying production AI applications - Expertise in large language models (OpenAI, Claude, Gemini, etc.) - Experience with RAG, prompt engineering, and agent workflows - Strong full-stack engineering experience across modern frameworks - Experience with cloud platforms and building scalable architectures - Experience with agentic development frameworks and autonomous AI systems - Background in both engineering and product development - Experience integrating AI into consumer applications or enterprise systems - Familiarity with speech, vision, and generative media pipelines Benefits - Flexible workplace arrangements, work-life balance - Donation matching, volunteer opportunities - Tuition reimbursement, access to professional development resources - 401k matching - Employee Stock Purchase Plan - And many, many more (Ask your recruiter for more details!)