Transformation Lead, AI & Automation — North America Print

HP; Spring (TX); Sur place; USD 105 000 - 162 000; Plein temps

Avantages offerts par ce poste

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance

Flexible spending

Life insurance

Parental leave

Paid holidays

Vacation & sick leave

Résumé du poste

HP is seeking a data & information technology leader to translate the North America Print transformation agenda into tangible outcomes. You will synthesize data, test hypotheses, and drive AI, automation, and process redesign to accelerate planning and executive decision-making.

The role spans large, cross-functional programs and coordinates with regions and businesses to align strategy with HP's goals. You will redesign recurring workflows, modernize dashboards, and establish measurement with

Qualifications

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science or related discipline, or commensurate work experience.
• Typically has 7–10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Responsabilités

• Own the transformation backlog across Category, Sales, Finance, Supply Chain, Worldwide Planning and Business Management Systems.
• Lead Take Work Out initiatives; quantify effort removed, cycle time reduced, and error rates improved.

Connaissances

Agile Methodology

Business Intelligence

Dashboard

Data Analysis

Data Management

Data Modeling

Data Quality

Data Science

Data Visualization

Data Warehousing

ETL

Machine Learning

Power BI

Python

R

SAS

SQL

Statistics

Tableau

Formation

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science

Outils

SQL

Python

R

SAS

Tableau

Description du poste

Description -

Job Summary

This role converts the North America Print transformation agenda into delivered outcomes, ensuring the business remains competitive and adaptable in a rapidly changing landscape. The role develops strategic recommendations by synthesizing data, conducting in-depth analysis, and rigorously testing hypotheses to support well-informed choices. It removes manual, repetitive, and reconciliation-heavy work and improves the speed and quality of planning and executive decision-making through AI, automation, and process redesign. The role leads large, cross-functional projects and collaborates across businesses to align strategy with organizational goals.

Responsibilities

• Own the transformation backlog. Identify, size, prioritize, and sequence opportunities across Category, Sales, Finance, Supply Chain, Worldwide Planning, and Business Management Systems, applying portfolio frameworks to evaluate and manage a diverse set of initiatives.
• Lead Take Work Out initiatives. Quantify effort removed, cycle time reduced, and error rates improved.
• Redesign recurring workflows across forecast, outlook, commit, reporting, and operating-review cycles. Apply the stop, simplify, standardize, automate, delegate sequence before recommending new tooling.
• Modernize executive reporting and decision support, including dashboard rationalisation and standardised narrative and bridge generation.
• Drive AI and Copilot adoption where it improves decision quality, speed, or consistency. Recommend against AI where the underlying process is broken or unnecessary.
• Establish measurement and evidence. Structure the analytical approach, baseline the current state, define expected benefit, and evidence delivered results.
• Lead large, cross-functional initiatives end to end. Define objectives, deliverables, guidelines, and contingency plans; manage stakeholders and communications across businesses, functions, and regions to align direction and ensure timely delivery.
• Advise and sustain. Consult with business executives on transformation choices, risk, and growth opportunities; run regular follow-up on commitments to ensure accountability; and build capability in the wider team so improvements are sustained without central dependency.

Education & Experience Recommended

• Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 7-10 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field.

Preferred Certifications

• Programming Language/s Certification (SQL, Python, or similar)

Knowledge & Skills

• Agile Methodology
• Business Intelligence
• Computer Science
• Dashboard
• Data Analysis
• Data Management
• Data Modeling
• Data Quality
• Data Science
• Data Visualization
• Data Warehousing
• Extract Transform Load (ETL)
• Machine Learning
• Power BI
• Python (Programming Language)
• R (Programming Language)
• SAS (Software)
• SQL (Programming Language)
• Statistics
• Tableau (Business Intelligence Software)

Cross-Org Skills

• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope

• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity

• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

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 $105,050 to $161,800 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.

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview

[https://hpbenefits.ce.alight.com/])

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (United States of America)

Travel -

25%

Relocation -

Not Specified

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"