EisnerAmper is one of the largest accounting, tax, and business advisory firms, and they are seeking an innovative Sr. Manager AI Product Owner to drive the transformation of client service delivery through artificial intelligence. This role will bridge outsourcing services with the EisnerAI platform, focusing on AI-driven innovation across various functions to enhance client outcomes.
Responsibilities:
- Partner with EisnerAI leadership and the Chief AI Officer to develop and execute AI product roadmaps specifically tailored for outsourcing services clients
- Align AI initiatives with EisnerAmper's four strategic pillars: Intelligent Operations, Accelerated Delivery, AI Advisory, and Autonomous Platforms
- Drive the integration of AI agent workforce concepts into traditional outsourcing service delivery models
- Collaborate with Microsoft partnership teams to leverage Azure AI services and Copilot capabilities for client solutions
- Coordinate AI solution demonstrations at the EisnerAI Experience Center for current and prospective outsourcing clients
- Facilitate client co-innovation workshops to identify high-impact AI use cases across finance, HR, IT, and tax functions
- Develop proof-of-concepts and prototypes that showcase AI's potential to transform outsourced operations
- Create compelling business cases demonstrating ROI and efficiency gains from AI implementation
- Serve as the primary liaison between outsourcing service lines (Finance & Accounting, HR, IT, Tax) and the EisnerAI platform team
- Work with practice leaders across EA RESIG, Family Office Solutions, and Financial Services to identify AI automation opportunities
- Collaborate with data scientists, engineers, and domain experts to translate client needs into AI-powered solutions
- Partner with the AI Experience Center team to develop showcase materials and client engagement strategies
- Own the product backlog for AI features within outsourcing services, prioritizing based on client value and strategic impact
- Define clear requirements and acceptance criteria for AI solutions targeting specific outsourcing use cases
- Primary decision maker in agile ceremonies and prioritize sprint activities with development teams
- Ensure AI solutions meet enterprise-grade standards for security, scalability, and compliance
- Champion the adoption of the EisnerAI platform across outsourcing service delivery
- Identify and help design AI agent workflows that augment human expertise in areas such as property accounting, tax compliance, HR operations, and IT management
- Focus on frameworks for seamless integration between AI capabilities and existing client systems
- Collaborate on standardized AI implementation playbooks for different outsourcing service lines
- Contribute to responsible AI governance practices across all outsourcing AI initiatives
- Ensure AI solutions adhere to ethical guidelines, regulatory requirements, and client-specific compliance needs
- Sponsor transparency measures and mechanisms to help clients understand AI decision-making processes
- Stay current with AI trends in business process outsourcing, robotic process automation, and intelligent automation
- Analyze competitor offerings and identify opportunities for differentiation
- Contribute to thought leadership through whitepapers, client presentations, and industry events
- Identify emerging AI technologies that could enhance EisnerAmper's outsourcing value proposition
Requirements:
- Bachelor's degree in Business, Technology, Data Science, Accounting, Finance, or related field
- 8+ years relevant experience in professional services or similar environment
- 3+ years of hands-on experience with AI/ML technologies and business applications
- Master's degree preferred (MBA, MS in Data Science, or professional services advanced degree)
- Deep understanding of Tax, Audit, Advisory, or Consulting workflows and pain points
- Experience in client-facing roles with ability to articulate complex technical concepts
- Practical experience with Azure OpenAI, Cognitive Services, and AI Foundry
- Hands-on experience with GPT models, prompt engineering, and fine-tuning techniques
- Familiarity with enterprise AI platforms, chatbots, and automation tools
- Proficiency in data visualization tools (Power BI, Tableau) and basic statistical analysis
- Experience with SharePoint, Confluence, or similar knowledge management systems
- Exceptional verbal and written communication skills for diverse audiences
- Proven ability to design and deliver engaging training programs and workshops
- Strong problem-solving skills with ability to break down complex business challenges
- Comfort with rapid technological change and ability to learn new AI tools quickly
- Experience working with cross-functional teams and managing stakeholder relationships