Associate Director, Enterprise Context & Data Foundations

EyeBio; United States; Hybrid; USD 134,000 - 224,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan with match

Paid holidays and time off

Job summary

EyeBio seeks an Associate Director to accelerate value from enterprise data by defining semantic and business context that enables analytics, AI, Copilots, and agentic products at scale.

The role bridges business stakeholders, product teams, and technology organizations, driving vision, adoption, and governance of data foundations while engineering teams implement technical solutions. Hybrid, US-based with strong leadership impact.

Qualifications

• 8+ years leading data, analytics, BI, or business transformation initiatives.
• Experience working across business and technology organizations.
• Strong understanding of enterprise data, analytics, and AI ecosystems.
• Proven ability to drive cross-functional alignment and influence senior stakeholders.
• Experience translating business objectives into scalable data and AI capabilities.
• Strong communication, facilitation, and organizational leadership skills.

Responsibilities

• Define and execute the Enterprise Context and Data Foundations strategy.
• Establish scalable business context, semantic models, taxonomies, and knowledge assets.
• Drive AI-ready contextualized data products and adoption across the enterprise.
• Partner with business and product leaders to align context with insights and automation.
• Lead cross-functional teams across business, analytics, product, and engineering.

Skills

Enterprise context

Data governance

Stakeholder management

Product management

Leadership

Analytics strategy

Knowledge management

Requirements management

Data quality

Strategic planning

Metadata management

Ontology design

Job description

Job Description

The Associate Director, Enterprise Context & Data Foundations role is responsible for accelerating business value from enterprise data by establishing the semantic, contextual, and business foundations that enable analytics, AI, Copilots, and agentic products at scale.

This leader serves as the bridge between business stakeholders, product teams, and technology organizations, ensuring data is organized, contextualized, and governed in a way that enables trusted decision-making and AI-powered business outcomes.

The role focuses on defining business meaning, reusable context, semantic models, business rules, metadata, taxonomies, ontologies, and knowledge assets that power agentic solutions across the enterprise. Engineering teams provide the technical implementation while this leader drives vision, priorities, adoption, and business alignment.

Key Responsibilities

Enterprise Context Strategy

• Define and execute the strategy for Enterprise Context and Data Foundations.
• Establish a scalable framework for business context, semantic models, business definitions, metrics, taxonomies, and knowledge assets.
• Drive the evolution from foundational data assets to AI-ready contextualized data products.
• Partner with business and product leaders to identify opportunities where context can accelerate insights, automation, and decision-making.

Agentic Business Enablement

• Enable enterprise adoption of AI, Copilot, and agentic solutions through trusted business context.
• Partner with business teams to understand workflows, decision points, and information needs.
• Identify opportunities where agents can reduce manual effort, improve productivity, and accelerate business outcomes.
• Ensure agentic solutions are grounded in trusted business definitions, metrics, policies, and relationships.

Semantic & Context Foundations

• Lead the creation and governance of semantic models, business metrics, dimensions, and reusable business concepts.
• Establish enterprise standards for business metadata, ontologies, knowledge graphs, and context assets.
• Drive consistency in critical business definitions across domains and products.
• Partner with domain teams to build reusable context that can be leveraged across analytics, applications, and AI solutions.

Data Product & Business Adoption

• Partner with Data Product Owners to ensure foundational data products are discoverable, trusted, and consumable.
• Drive adoption of enterprise data assets across business functions.
• Measure utilization, business value, and AI readiness of data products.
• Champion a product mindset focused on usability, enablement, and measurable business outcomes.

Cross-Functional Leadership

• Work across business, analytics, product management, architecture, governance, and engineering teams.
• Facilitate alignment around business meaning, data ownership, and context standards.
• Influence enterprise-wide practices without direct ownership of all participating teams.
• Build and lead a community of stakeholders focused on context, knowledge management, and AI enablement.

Agentic Workforce Transformation

• Accelerate productivity through skills, agents, and process automation.
• Enable teams to adopt agentic ways of working that improve speed, quality, and scale.
• Establish reusable patterns for AI and agent adoption across the organization.

Qualifications

Required

• 8+ years leading data, analytics, business intelligence, product, or business transformation initiatives.
• Experience working across business and technology organizations.
• Strong understanding of enterprise data, analytics, and AI ecosystems.
• Proven ability to drive cross-functional alignment and influence senior stakeholders.
• Experience translating business objectives into scalable data and AI capabilities.
• Strong communication, facilitation, and organizational leadership skills.

Preferred

• Experience with data products, metadata management, governance, or knowledge management.
• Familiarity with semantic layers, metrics frameworks, business glossaries, knowledge graphs, ontologies, or AI enablement platforms.
• Experience supporting AI, Copilot, or agentic solution adoption.
• Understanding of modern data platforms, lakehouse architectures, and enterprise data ecosystems.

Required Skills:

Asset Management, Asset Management, Benefits Management, Business Alignment, Business Decisions, Business Metrics, Business Models, Business Workflow Analysis, Data Access, Data Assessment, Data Management, Data Stewardship, Data Strategies, Enterprise Data Management, Knowledge Management, Management System Development, Partner Ecosystem Strategy, Product Management, Product Marketing, Requirements Management, Stakeholder Relationship Management, Strategic Planning, System Designs, Technology Alignment, Transactional Data {+ 1 more}

Preferred Skills:

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

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We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

The salary range for this role is $142,400.00 - $224,100.00

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

San Francisco Residents Only:

We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only:

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

Employee Status: Regular

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements: Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date: 09/4/2026

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