EDS Assistant Director Product Management

Job Title : Assistant Director- Product Manager : EDS

Role Summary

The Assistant Director Product Manager is a senior stakeholderfacing role responsible for driving growth through product and solution management demand creation and adoption of Analytics Business Intelligence Data Science and AI services across internal EY functions.

The role focuses on originating and shaping analytics opportunities partnering with internal service lines such as Talent Procurement Finance Risk and other enabling functions to identify business challenges and position dataled and AIenabled solutions that deliver tangible business value.

Role Purpose

• Drive internal business development for EDS by identifying shaping and promoting analytics and AI use cases across EY Enablement functions.
• Position EDS as a strategic valueoriented partner to internal stakeholders rather than a deliveryonly function.
• Translate stakeholder priorities into analyticsled problem statements and solution opportunities.
• Enable sustained adoption of Business Intelligence Data Science and AI solutions by aligning offerings to real business outcomes.

Key Responsibilities

Internal Business Development & Opportunity Identification

• Proactively engage internal EY functions to understand strategic objectives operating challenges and decisionmaking needs.
• Identify opportunities where analytics Business Intelligence Data Science or AI can drive efficiency insight risk reduction or value creation.
• Build and maintain a pipeline of analytics initiatives aligned to stakeholder priorities and EDS capabilities.
• Position analytics and AI services using businessoriented value narratives avoiding technical jargon.

Solution Shaping & Consulting

• Lead problemframing and solutiondefinition discussions with stakeholders.
• Translate business needs into clear analytics problem statements solution concepts and highlevel approaches.
• Recommend appropriate solution types across:
• Business Intelligence and Reporting
• Descriptive and Diagnostic Analytics
• Predictive and Prescriptive Analytics
• Data Science and Machine Learning
• Applied AI use cases
• Ensure solution concepts are outcomedriven scalable and aligned to enterprise standards.

Technical Credibility & Translation

• Apply strong working knowledge of data platforms analytics Data Science and AI concepts to:
• Assess feasibility of use cases
• Set realistic expectations on outcomes
• Guide stakeholders toward appropriate solution choices
• Act as a translator between business language and analytical approaches ensuring clarity and alignment before initiatives move into delivery.

Value Articulation & Adoption

• Develop and communicate business cases success measures and value realization narratives for analytics initiatives.
• Support prioritization of use cases based on business impact feasibility and strategic alignment.
• Drive stakeholder buyin and sustained engagement through clear articulation of benefits and outcomes.

Experience & Qualifications

• Educational background in Engineering Statistics Economics Data Science or MBA with strong quantitative focus.
• 12 years of relevant experience in Analytics Data Data Science AI Consulting or related roles.
• Demonstrated experience in business development solution consulting or internal advisory roles preferably in large complex organizations.
• Strong understanding of:
• Data and Analytics concepts
• Business Intelligence and reporting
• Advanced Analytics Data Science and AI use cases
• Proven ability to influence senior stakeholders and shape demand for analyticsled solutions.
• Educational background in Engineering Analytics Data Science Management or equivalent quantitative discipline.

Key Capabilities & Attributes

• Strong business development and consulting mindset
• Ability to connect business problems to analytics opportunities
• Executivelevel communication and stakeholder influence
• Comfort operating in ambiguous unstructured problem spaces
• Ability to balance commercial thinking with technical credibility