Job Description

At EisnerAmper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you’re starting out in your career or taking your next step as a seasoned professional, the EisnerAmper experience is one-of-a-kind. You can design a career you’ll love from top to bottom – we give you the tools you need to succeed and the autonomy to reach your goals.   

  

EisnerAmper is seeking an innovative Sr. Manager AI Product Owner to join our Outsourcing division and drive the transformation of our client service delivery through artificial intelligence. This pivotal role will bridge EisnerAmper's comprehensive outsourcing services with our EisnerAI platform, working closely with the EisnerAI Experience Center to conceptualize, design, develop, and demonstrate AI capabilities that amplify human expertise and deliver transcendent outcomes for our outsourcing clients.

As AI Product Owner, you will be instrumental in realizing our vision to become the industry-leading professional services firm using the EisnerAI platform. You will champion AI-driven innovation across our finance & accounting, HR, IT, tax, and specialized industry outsourcing services, ensuring our clients benefit from cutting-edge automation, predictive analytics, and intelligent operations.

What it Means to Work for EisnerAmper:  

You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry  

You will have the flexibility to manage your days in support of our commitment to work/life balance  

You will join a culture that has received multiple top “Places to Work” awards  

We believe that great work is accomplished when cultures, ideas and experiences come together to create new solutions   

We understand that embracing our differences is what unites us as a team and strengthens our foundation   

Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work   

What Work You Will Be Responsible For: 

Strategic AI Product Leadership

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

Client Innovation and Demonstration

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

Cross-Functional Collaboration

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

Product Development and Delivery

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

AI Platform Architecture Integration

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

Responsible AI Governance

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

Market Intelligence and Innovation

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

Basic Qualifications:

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

Preferred/Desired Qualifications:

Education: Master's degree preferred (MBA, MS in Data Science, or professional services advanced degree)

Service Line Knowledge: Deep understanding of Tax, Audit, Advisory, or Consulting workflows and pain points

Client Relationship Management: Experience in client-facing roles with ability to articulate complex technical concepts

Microsoft Azure AI: Practical experience with Azure OpenAI, Cognitive Services, and AI Foundry

Generative AI: Hands-on experience with GPT models, prompt engineering, and fine-tuning techniques

AI Platforms: Familiarity with enterprise AI platforms, chatbots, and automation tools

Data Analysis: Proficiency in data visualization tools (Power BI, Tableau) and basic statistical analysis

Documentation Tools: Experience with SharePoint, Confluence, or similar knowledge management systems

Communication Excellence: Exceptional verbal and written communication skills for diverse audiences

Training & Facilitation: Proven ability to design and deliver engaging training programs and workshops

Analytical Thinking: Strong problem-solving skills with ability to break down complex business challenges

Adaptability: Comfort with rapid technological change and ability to learn new AI tools quickly

Collaboration: Experience working with cross-functional teams and managing stakeholder relationships

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal, state, or local law.

About EisnerAmper: 

EisnerAmper is one of the largest accounting, tax, and business advisory firms, with approximately 450 partners and 4,500 employees across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow. 

Our clients are enterprises as diverse as sophisticated financial institutions and start-ups, global public firms, and middle-market companies, as well as high net worth individuals, family offices, not-for-profit organizations, and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys, financial professionals, bankers, and investors who serve these clients.  

Should you need any accommodations to complete this application please email: talentacquisition@eisneramper.com  

 

Preferred Location:Baton Rouge

For NYC and California, the expected salary range for this position is between

120000

and

200000

The range for the position in other geographies may vary based on market differences.  The actual compensation will be determined based on experience and other factors permitted by law.