End-to-End BI Solution Architect – Services Contractual
Description -
Role Summary
This role will operate as the end-to-end design authority for the Services BI domain. The charter is to:
- Own end-to-end BI and data solution architecture across business processes, systems, and data domains supporting the Services business
- Translate business strategy into scalable BI/data solutions, ensuring alignment across upstream and downstream systems
- Drive data product rigor, including standardized artifacts, data models, governance frameworks, and alignment to enterprise master data
- Provide executive-level visibility into risks, dependencies, and trade-offs, with clear recommendations
- Ensure architectural decisions scale across regions and offerings, minimizing rework and fragmentation
- Partner cross-functionally with Business, IT, Data Engineering, and Analytics teams to deliver integrated solutions
- Enable and coach teams on architectural standards, best practices, and decision frameworks
Key Responsibilities
- Architect end-to-end BI solutions spanning data ingestion, transformation, modeling, and visualization
- Define and enforce data governance, quality, and consistency standards across services-related domains (e.g., contracts, entitlements, billing, customer lifecycle)
- Establish and maintain data models and semantic layers for consistent reporting and analytics
- Lead solution design reviews, ensuring alignment with enterprise architecture and long-term target state
- Identify gaps in current systems and processes; propose future-state architectures that support services growth
- Drive adoption of a methodology-first approach, focusing on reusable patterns and scalable design
- Collaborate with senior stakeholders to shape data strategy and roadmap for the Services business
- Define and enforce data product standards — ownership, contracts, SLAs, quality thresholds, lineage, and documentation — for all Services analytical assets.
- Chair or actively contribute to architecture review boards, design authority forums, and change advisory processes for the Services BI domain.
- Partner with finance, sales, services delivery, IT, and transformation leaders to align on prioritization and ensure architectural choices support commercial outcomes (recurring revenue, margin, attach, renewal rate, time-to-cash).
- Challenge the status quo where existing process or system designs cannot scale to a Services-led business — and propose pragmatic, sequenced paths forward.
- Support prioritization and sequencing of initiatives based on business value and architectural impact
- Coach BI engineers, data modelers, and functional architects to raise the design bar across the team.
- Build reusable patterns, reference architectures, and playbooks so that future Services initiatives start from a stronger baseline.
- Create the conditions for autonomous, accountable squads — clear interfaces, shared standards, and unambiguous data ownership.
Knowledge, Skills & qualifications
- 10+ years in enterprise data, BI, or solution architecture roles, with significant exposure to Services or other recurring/contractual business models.
- Demonstrated experience leading end-to-end architecture for cross-functional transformation programs in a multinational environment.
- Hands-on familiarity with at least one major CRM (e.g., HP Dynamics, SFDC), one major ERP (e.g., SAP,), and modern data platforms (e.g., cloud data warehouses, Lakehouse architectures, semantic/metrics layers).
- Track record of producing high-quality architectural artifacts and governance frameworks that have been adopted and scaled.
- AI/ML fluency for BI: familiarity with how AI/ML and GenAI capabilities are being embedded into modern BI and data platforms, including augmented analytics, semantic search, copilots, and ML-driven forecasting, and the architectural implications for data products, governance, and trust.
- AI-ready architecture is a plus: ability to design BI and data architectures that are AI-ready by default with governance guardrails required for safe enterprise AI/ML and GenAI consumption.
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline; advanced degree or equivalent experience preferred.
- Excellent written and verbal communication in English; additional languages a plus given the global scope.
- Passion for data & delivering data driven outcomes
- Able to work independently yet collaborate cross-functionally in a global and multicultural environment
- Strategic mindset, attention to detail and capable of independently managing complex processes that touch multiple stakeholders
- Excellent interpersonal and project management skills; ability to work across in person as well as virtual team environments
- Self-starter requiring minimum training or on-boarding effort
Education & Experience Recommended
• Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 10+ years of work experience, preferably in data analytics, data engineering, data modeling, or a related field, with significant exposure to Services or other recurring/contractual business models.
Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)
Impact & Scope
• Impacts large functions and leads large, cross-division functional teams or projects.
Complexity
• Provides highly innovative solutions to complex problems within established policy.
Pay & Benefits
The pay range for this role is $147,050 to $230,850 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:
HP offers a comprehensive benefits package for this position, including:
- 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
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.
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.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (Mexico)
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"
