As the Job Architecture Taxonomy Manager within our Master Data Management Team, you will be responsible for managing and governing the taxonomy of job families, job levels, job codes, job profiles, and career frameworks in Workday, playing a crucial role in enabling our skills-based organization transformation. This role is essential for ensuring that our Job Architecture framework aligns with our strategic goals and supports workforce planning, talent mobility, and compensation equity.
About The Job
Main responsibilities
Job Architecture Taxonomy Management
Managing structured job family groups, job families, management levels, job levels, job codes, and job profiles based on industry standards and organizational needs.
Ensuring that the Job Architecture taxonomy aligns with industry frameworks and accurately reflects the nature of work at Sanofi
Analyze market benchmarking data, industry standards, and internal workforce data to evaluate how job structures are evolving and ensure the taxonomy remains relevant, competitive, and forward-looking
Evaluate taxonomy effectiveness through metrics such as job profile completeness, consistency across regions, employee clarity on career paths, and alignment with business priorities—recommending continuous improvements
Job Profiles to Skills Integration
Supporting alignment of job profiles with skills taxonomy, including required proficiency levels for each role
Working with the Skills Intelligence Lead and other teams (Rewards & Performance, Talent, etc.) to ensure Job Architecture is being appropriately integrated with hiring, compensation, workforce planning, and career development processes and tools
Data Governance & Quality Assurance
Operationalize and enforce data governance standards to ensure the Job Architecture taxonomy maintains high levels of completeness, accuracy, consistency, and integrity
Co-design, implement and maintain governance processes, including intake mechanisms (forms, tickets) for People Business Partners and business stakeholders (Skill Owners, Subject Matter Experts, etc.) to request Job Architecture updates
Partner with Rewards and Performance, Talent Acquisition, and Strategic Workforce Planning teams to validate job architecture data structure based on evolving business needs
Document and socialize governance frameworks, standard operating procedures, and change management protocols to ensure transparency, compliance, and stakeholder alignment
Ensure regulatory and policy compliance in all Job Architecture-related data management activities
Ensure job architecture decisions are aligned to skills taxonomy governance
Stakeholder Engagement & Change Leadership
Act as the primary point of contact for Job Architecture taxonomy inquiries, serving as a trusted advisor
Support change management efforts to drive adoption of the Job Architecture taxonomy across the organization, including training, communication campaigns, and user support
Present insights and recommendations to leadership, translating complex data into clear, actionable business intelligence
About You
Education, Experience and Skills
Master's degree in Business Administration, Information Technology, Human Resources, Organizational Development, or a related field
5+ years of Progressive experience in job architecture design, organizational design, workforce analytics, master data management, or HR systems management—preferably within a global, matrixed organization
Expertise in Job Architecture frameworks and standards (Mercer, Willis Towers Watson, Korn Ferry, or equivalent)
Proven track record managing complex data governance initiatives and driving enterprise-wide adoption of Job Architecture or classification systems
Proficiency in data analysis and visualization tools (e.g., Tableau, Power BI) and in HRIS platforms, particularly Workday (Job architecture, HCM, Talent Optimization)
Advanced skills in data analysis and visualization tools (e.g., Tableau, Power BI, Excel, SQL)
Experience with data governance, data quality management, and MDM principles
Strong analytical and problem-solving skills, with the ability to assess complex situations and recommend effective solutions
Excellent project management skills with the ability to manage multiple tasks simultaneously
Strong communication skills to present complex data insights in a clear and concise manner
Strong interpersonal skills, with the ability to build relationships and work effectively within cross-functional teams
Preferred Qualifications
Experience in the pharmaceutical, biotech, or life sciences industry
Knowledge of compensation structures, career frameworks, and workforce planning methodologies
Familiarity with compensation benchmarking and market data integration is a strong plus
Familiarity with talent mobility platforms, workforce planning tools, or talent intelligence platforms
Certification in data governance, HR analytics, organizational design, or related disciplines
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