Senior Manager, Data Transformation & AI Enablement

Senior Manager, Data Transformation & AI Enablement

Description -

Position Summary

The Senior Manager, Data Transformation & AI Enablement will lead the Enterprise Data & Analytics (EDA) AI Enablement Office and drive the adoption, operationalization, and business value realization of Artificial Intelligence across EDA.

This role is responsible for accelerating EDA's transformation into an AI-native organization by embedding AI into data engineering, data governance, analytics, reporting, and decision intelligence capabilities. Working closely with HP's Applied AI organization, the role will ensure enterprise AI capabilities are successfully adopted within EDA while maintaining alignment to enterprise standards, governance, and responsible AI practices.

The position serves as the primary AI enablement leader for EDA and plays a critical role in advancing strategic initiatives such as APEX, AETHER, and other transformation programs through AI-driven innovation, productivity, and business value creation.

Key Responsibilities

• Define and execute EDA's Data Transformation and AI Enablement strategy, roadmap, and operating model.
• Lead the EDA AI Enablement Office, including governance, adoption frameworks, best practices, and reusable AI capabilities.
• Identify and prioritize opportunities to apply AI across data engineering, governance, data quality, metadata management, analytics, and business intelligence.
• Drive AI adoption through workforce readiness, AI literacy, change management, and capability development programs.
• Partner with Applied AI, Enterprise Architecture, Privacy, Security, and Legal teams to ensure trusted and responsible AI adoption.
• Enable strategic initiatives such as APEX and AETHER by accelerating AI integration, reuse, and business value realization.
• Establish performance metrics to measure AI adoption, productivity improvements, operational efficiency, and business outcomes.
• Provide leadership with visibility into AI investments, adoption progress, risks, opportunities, and realized value.
• Represent EDA in enterprise AI governance forums and strategic planning activities.
• Lead and develop a high-performing team of AI enablement and transformation professionals.

Education and Experience

• Bachelor's degree in Computer Science, Information Systems, Data & Analytics, Engineering, Business, or related discipline; advanced degree preferred.
• Typically 12+ years of experience in Data & Analytics, Digital Transformation, AI Enablement, Technology Strategy, or Enterprise Program Leadership.
• Experience leading large-scale business, technology, data, or AI transformation initiatives.
• Strong understanding of Generative AI, Agentic AI, Data & Analytics, governance, and organizational adoption practices.
• Experience influencing executives and leading cross-functional initiatives in global, matrixed organizations.
• Demonstrated success delivering measurable business value through technology-enabled transformation.

Required Knowledge and Skills

• AI adoption, enablement, and transformation leadership.
• Data and analytics strategy, governance, and operating models.
• Generative AI and Agentic AI business applications.
• Responsible AI, risk management, privacy, and compliance.
• Organizational change management and workforce transformation.
• Executive communication and stakeholder management.
• Strategic planning, roadmap development, and value realization.
• Portfolio governance and performance measurement.
• Cross-functional leadership and influencing without authority.
• Business and technology strategy alignment.

Leadership Capabilities

• Strategic thinking and innovation.
• AI transformation leadership.
• Executive presence and communication.
• Change leadership and organizational influence.
• Strong business and financial acumen.
• Collaboration across functions and organizations.
• Accountability and results orientation.
• Ability to translate emerging technologies into measurable business outcomes.

Impact and Scope

• Drives AI adoption and AI-enabled transformation across Enterprise Data & Analytics.
• Influences the future direction of AI-powered data, analytics, governance, and engineering capabilities.
• Serves as the primary liaison between EDA and Applied AI.
• Enables measurable business value realization from AI investments and strategic programs.
• Partners regularly with VPs, Directors, architects, engineers, data leaders, and business stakeholders across the enterprise.

Success Measures

• Increased AI adoption and AI literacy across EDA.
• Measurable improvements in productivity, quality, and operational efficiency through AI.
• Successful AI enablement of APEX, AETHER, and future EDA transformation initiatives.
• Consistent implementation of responsible AI and governance practices.
• Increased reuse of AI capabilities, agents, frameworks, and best practices.
• Clear visibility into AI business value, outcomes, and return on investment.
• Advancement of EDA's vision to deliver trusted data, decision-ready analytics, and AI at scale.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (Romania)

Travel -

Relocation -

Equal Opportunity Employer (EEO) - 

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s   EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"