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$166k–$266k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity
Posted 3d ago
~40 hrs/week
Responsibilities
Drive enterprise-wide AI transformation by translating business priorities into scalable AI solutions and leading cross-functional programs. Serve as the bridge between business leaders and technology teams to deliver measurable business outcomes and AI adoption.
Requirements
Requires a bachelor's degree and 10+ years of experience in AI/digital transformation or management consulting within large, global enterprises. Must have a proven track record of influencing senior leaders and managing complex AI portfolios to deliver business value.
Full job description
Director - AI Transformation
Description -
Job Summary
The Director - AI Transformation is responsible for driving enterprise-wide AI transformation initiatives, translating business priorities into scalable AI solutions, and leading cross-functional programs from strategy and design through execution. This role operates in a highly complex, matrixed environment and serves as the bridge between business leaders, technology teams, and external partners to deliver measurable business outcomes through AI.
The ideal candidate combines strategic thinking, business acumen, AI domain expertise, consulting-style problem solving, and exceptional stakeholder management skills to identify high-value AI use cases, shape solution roadmaps, and accelerate AI adoption aligned with industry and technology trends.
Key Responsibilities
AI Transformation Strategy & Roadmap
Define and execute AI transformation strategies that align with enterprise objectives, business priorities, and digital transformation goals.
Partner with senior leadership to identify, prioritize, and develop AI use cases that deliver measurable business value.
Create multi-year AI roadmaps and transformation plans that balance innovation, scalability, risk, and operational readiness.
Continuously assess emerging AI technologies, industry trends, competitive landscape, and market opportunities to inform strategic direction.
Develop AI transformation frameworks, operating models, and governance structures that enable sustainable enterprise adoption.
AI Use Case Identification & Solution Shaping
Collaborate with business stakeholders to uncover opportunities where AI can improve customer experience, operational efficiency, employee productivity, revenue growth, and decision-making.
Lead discovery workshops, design-thinking sessions, and value assessment exercises to define business problems and AI opportunities.
Connect business needs, technology capabilities, data availability, and organizational readiness to shape scalable AI solutions.
Evaluate emerging AI technologies and industry best practices to recommend innovative approaches that maximize business impact.
Develop business cases, success metrics, ROI models, and implementation strategies for AI initiatives.
Program Leadership & Execution
Lead complex, cross-functional AI transformation programs involving multiple business units, technology teams, and executive stakeholders.
Manage a team of AI program managers
Drive end-to-end delivery from ideation, prioritization, proof-of-concept, pilot, deployment, and enterprise-scale adoption.
Establish governance structures, operating models, risk management frameworks, and program metrics.
Manage dependencies, resource allocation, stakeholder alignment, and change management activities.
Ensure successful transition from experimentation to production-scale deployment and value realization.
Stakeholder & Executive Engagement
Serve as a trusted advisor to executives and business leaders on AI opportunities, risks, adoption strategies, and investment priorities.
Influence decision-making across a matrixed organization without direct authority.
Build alignment among diverse stakeholder groups with competing priorities.
Facilitate executive workshops and strategic discussions to drive consensus and action.
Present recommendations, business cases, transformation of roadmaps, and program updates to executive leadership.
AI Adoption & Organizational Change
Develop strategies to accelerate AI adoption and organizational readiness.
Drive change management initiatives to embed AI capabilities into business processes and workflows.
Promote AI literacy and foster a culture of responsible AI innovation.
Establish frameworks for measuring business impact, adoption success, and organizational maturity.
Partner with business leaders to ensure sustainable adoption and continuous value delivery.
Required Qualifications
Education
Bachelor’s degree in business, Engineering, Computer Science, Information Systems, Data Science, or related field.
MBA or advanced degree preferred.
Experience
10+ years of experience in AI/digital transformation, business transformation, program management technology strategy, or consulting.
Experience in a Fortune 100 technology / global enterprises or management consulting experience leading AI transformation engagements in large, global, matrixed environments including AI strategy development, operating model design, use-case portfolio prioritization, value realization planning, and large-scale AI adoption programs.
Experience partnering with consulting firms, system integrators, technology providers, and external ecosystem partners to accelerate AI transformation.
Demonstrated success influencing senior leaders and driving cross-functional alignment as well as managing a team of AI program managers
Ability to develop long-term transformation strategies while balancing near-term execution needs.
Experience managing large-scale complex transformation programs and portfolios involving multiple stakeholders, business units, and technology teams.
Track record of translating business challenges into scalable AI solutions that deliver measurable business outcomes across functions such as Product Development, Customer Support, Supply Chain, Sales, Marketing, HR, Finance, or IT.
Strong business acumen with experience building business cases and quantifying value realization.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
The pay range for this role is $166,050 to $265,700 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Job -
Business Planning
Schedule -
Full time
Shift -
No shift premium (United States of America)
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.
Offices: 1501 Page Mill Road, Palo Alto, CA 94304, US · Cami de Can Graells, 1, Sant Cugat del Valles, Catalonia 08174, ES · Soseaua Fabrica de Glucoza 5, Bucharest, Bucharest 020331, RO · Engholm Parkvej 8, Lillerod, Capital Region 3450, DK · 11311 W Chinden Blvd, Boise, ID 83714, US
How much do Data & Analytics jobs in Spring, TX pay?
Based on 92 listings with disclosed salaries, most data & analytics jobs in Spring, TX pay between $105k–$277k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Spring, TX right now?
There are currently 99 open data & analytics positions in Spring, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Spring, TX?
Companies currently hiring include Hewlett Packard Enterprise, HP, American Bureau of Shipping (ABS), STRIKE, Canacre, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Spring, TX?
Yes — 45 of the 99 open data & analytics positions offer remote or hybrid work (9 remote, 36 hybrid).
How do I apply for Data & Analytics jobs in Spring, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.