End-to-End BI Solution Architect – Services Contractual

End-to-End Bi Solution Architect – Services Contractual

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

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.

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;…