• Lead as a technical evangelist and trusted advisor for clients, shaping early-stage Data & AI conversations into compelling solution visions built on the Microsoft platform. • Partner closely with sales and account teams to drive opportunity qualification, solution strategy, and deal closure for Data & AI engagements. • Lead technical discoveries with clients to understand business priorities, decision criteria, and value drivers, translating them into winning Data & AI architectures. • Lead design and present Data & AI solutions that clearly articulate business outcomes, technical feasibility, and ROI. • Provide executive-level technical depth in Azure with depth in data engineering, data architect, machine learning, or AI to influence client stakeholders from practitioner to C-level. • Lead technical credibility throughout the sales cycle, including whiteboarding sessions, architecture reviews, proposals, and executive presentations. • Guide and mentor architects and data scientists to ensure solution consistency, technical excellence, and alignment with go-to-market strategy. • Identify and lead opportunities to expand pipeline through innovation workshops, POVs, and targeted thought leadership aligned to Microsoft Data & AI offerings. • Ensure proposed solutions align with Microsoft best practices, security standards, and regulatory requirements. • Stay current on Microsoft Data & AI roadmaps and industry trends to continuously sharpen competitive positioning and client impact.

Role Description The Artificial Intelligence (AI) Intern will be embedded across Steel Partners' corporate functions — including Finance, Operations, HR, and Strategy — to help design, build, and deploy AI-powered tools, automations, and intelligent bots. The intern will work closely with functional leaders and the investment team to identify inefficiency, prototype solutions, and implement AI strategies that drive measurable impact. Given the lean structure of our corporate team, the AI Intern will take on meaningful ownership of projects from day one and have direct exposure to senior leadership. Responsibilities - AI Strategy & Implementation: Partner with functional teams to assess processes, identify automation opportunities, and develop AI-driven solutions that reduce manual work and improve decision-making. - Bot Development: Design, build, and deploy intelligent bots (e.g., workflow automation bots, data retrieval bots, reporting assistants) tailored to specific business functions such as finance, HR, supply chain, and operations. - Tool Integration: Integrate large language models (LLMs) and AI APIs into existing workflows and internal systems to enhance productivity across corporate functions. - Data & Analytics: Analyze internal data sets to surface insights, build dashboards, and support data-driven reporting for portfolio companies and the investment team. - Process Documentation: Document AI solutions, technical workflows, and user guides to enable adoption and sustainability of new tools. - Cross-Functional Collaboration: Work across departments to understand pain points, gather requirements, and ensure solutions are practical and user-friendly. - Research & Emerging Tech: Monitor advancements in AI/ML tools, platforms, and best practices, and bring forward relevant innovations for evaluation. Qualifications - Currently pursuing or recently completed (within 1–2 years) a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field. - Hands-on experience with AI/ML frameworks, LLM APIs (e.g., OpenAI, Anthropic, Google), or automation platforms. - Proficiency in Python and/or JavaScript; experience with REST APIs and cloud services a plus. - Strong analytical and problem-solving skills with a bias toward action and building. - Excellent communication skills — able to translate technical concepts for non-technical business stakeholders. - Strong organizational skills and ability to manage multiple projects simultaneously across different functional teams. - Experience or coursework in industrial, manufacturing, defense, finance, or supply chain domains considered a plus. - A self-starter mentality and comfort working in a fast-paced, lean environment. Benefits - Networking opportunities with key business and technology community members. - Opportunity to earn class or internship credits pursuant to your attending college or university's credentials. - Real-world experience building AI solutions deployed across a global holding company. - Great mentors who care about your professional and technical growth. - Available on site or remote. New York City or Miami location available for corporate internships. Company Description Steel Partners Holdings L.P. is a global diversified holding company with operations spanning diversified industrial products, energy, defense, supply chain management and logistics, banking, and youth sports. Founded in 1990 by Warren G. Lichtenstein, Steel Partners has grown from a small private investment partnership into a $2 billion enterprise with approximately 5,200 employees across 90 locations in 14 countries. In January 2026, Steel Partners returned to being a privately held, family-owned company, continuing its long-term, values-driven approach to ownership and operations.

Role Description The AI Practitioner leads AI enablement and implementation initiatives for pharma, biotech, and regulated clients. This role bridges strategy and hands-on execution—driving AI adoption through workshops, advisory, and development of AI workflows, automations, and agents. Key Responsibilities - AI Strategy & Advisory - Conduct AI maturity assessments and develop enablement roadmaps - Advise clients on AI capabilities, limitations, and automation opportunities - Guide AI agent strategy and identify high-value use cases - AI Enablement & Training - Deliver hands-on workshops (e.g., ChatGPT, Claude, AI tools) - Run office hours and 1:1 coaching sessions - Tailor enablement programs based on user maturity levels - AI Development & Implementation - Build and deploy AI workflows, automations, and agents - Support transition from experimentation to production use - Integrate AI solutions into business processes - Client Engagement & Delivery - Lead end-to-end AI engagements with ownership from day one - Collaborate with stakeholders to refine solutions and outcomes - Continuously improve delivery approach based on feedback - Internal Enablement & Innovation - Support internal AI adoption and knowledge sharing - Experiment with emerging AI tools and approaches - Drive continuous improvement across AI offerings Qualifications - Experience in life sciences, pharma, or regulated industries - Hands-on experience building AI solutions (workflows, agents, integrations) - Strong understanding of AI capabilities and limitations - Experience leading workshops or client-facing engagements - Ability to communicate complex AI concepts to varied audiences - Strong written communication skills Preferred Qualifications - Experience in consulting, MSP, or professional services - Familiarity with enterprise AI platforms and workflow tools Core Skills & Attributes - Strong AI fluency and experimentation mindset - Ability to bridge business needs with technical execution - Excellent facilitation and stakeholder engagement skills - Adaptability across varying user skill levels - Curiosity and continuous learning approach - Ability to deliver value quickly in fast-paced environments Benefits - Competitive salary - 100% Remote (U.S.) - Must work Eastern Time Zone hours - Mid–Senior Level (AI-focused, client-facing delivery experience) This is a remote position.

• Define and execute PadSplit's company-wide AI strategy, including adoption goals, governance standards, enablement programs, and business impact measurement. • Lead the Analytics, Business Intelligence, Machine Learning, and AI enablement teams as a unified data and AI organization. • Drive the machine learning and predictive analytics roadmap, including pricing optimization, risk modeling, search relevance, and future AI-powered capabilities. • Oversee the health, quality, governance, scalability, and cost efficiency of PadSplit's data ecosystem. • Partner with Legal and executive stakeholders to establish ethical AI standards and responsible deployment practices. • Collaborate with Product teams to build data-driven experiences and predictive features that improve member and host outcomes. • Translate data and analytics into actionable insights that influence decisions across Product, Finance, Marketing, and Operations. • Assess emerging AI and machine learning technologies and determine where they can create meaningful business value.