VP or Director Business Systems, Data & D365 ERP

VP Business Systems, Data & AI

This role is accountable for the enterprise platform portfolio that powers core operations, decision-making, and scalable growth. This includes ERP, data/analytics platforms, integration/EDI, and business-critical applications. The VP ensures these platforms operate as a cohesive ecosystem, secure, governed, scalable, and aligned to business strategy. This role is designed for an operating model where vendors execute build/run, while retains ownership, governance, architecture, and accountability.

Reports to:

SVP Global Technology

• Ensure enterprise platforms deliver repeatable business capability and predictable change at scale.
• Protect Nutrabolt from platform drift, vendor dependency, and architecture sprawl.
• Establish an environment where the company can safely accelerate strategic initiatives through:
  • Standardized delivery patterns
  • Trusted data and metrics
  • Governed AI adoption
  • Strong controls and auditability

• ERP / Enterprise Applications: D365 and core enterprise business systems
• Data Platform:
  Microsoft Fabric, Azure SQL, cloud data warehouse patterns
• Analytics & AI Products:
  Power BI ecosystem, semantic layer, AI agents / Copilot enablement (governed)
• Integration & API Platform: integration patterns, middleware, APIs, eventing (as applicable)
• EDI / B2B: SPS Commerce and B2B connectivity governance, customer/supplier integrations
• Business-Critical Applications: custom apps and niche platforms that support revenue, operations, compliance

• Own the multi-year platform strategy aligned to business priorities and growth targets.
• Translate enterprise strategy into platform roadmaps with clear outcomes, sequencing, and dependencies.
• Ensure platform decisions optimize for:
  • Scalability and speed of change
  • Control and audit readiness
  • Reduced manual workarounds and shadow systems
• Drive a rational strategy for business-owned platforms (e.g., E2open) to ensure they are integrated and governed, without disrupting business ownership.
• Architecture, Standards & Guardrails
• Establish and enforce enterprise standards for:
  • Solution architecture
  • Integration patterns
  • Data and semantic modeling
  • Platform configuration principles (e.g., avoid customization sprawl)
• Chair/own the architecture review mechanism (ARB) to prevent:
  • Vendor-driven architecture drift
  • Tool sprawl and duplicated capabilities
  • Uncontrolled technical debt
• Vendor-Executed Delivery & Operating Model Oversight
• Own vendor execution outcomes across build and run:
  • Delivery quality and timeliness
  • Operational service levels (where applicable)
  • Knowledge transfer and documentation standards
• Set expectations that vendors must deliver:
  • Repeatable process
  • Quality gates
  • Evidence-based progress
  • Transparent risk management

• Ensure the company has a trusted data foundation and consistent KPI definitions.
• Sponsor and enforce the semantic layer and metric governance approach so "one version of truth" is real.
• Ensure analytics delivery is treated as product outcomes, not dashboard volume.

• Enable responsible AI adoption for business value while maintaining guardrails.
• Ensure AI agents and Copilot solutions use:
  • Approved data sources
  • Governed semantic models
  • Auditability and controls
  • Clear ownership and monitoring
• Partner with Security/Risk and Legal/Privacy stakeholders to formalize:
  • AI usage policies
  • Data exposure standards
  • Ongoing compliance and monitoring

• Ensure platform solutions support:
  • Controls and auditability (SOX/SOC readiness where applicable)
  • Data lineage and traceability for key reports
  • Segregation of duties and role-based access
• Partner with IT Controls and Security leaders to remediate gaps and maintain a defensible posture.

• Own platform portfolio health across:
  • Cost transparency and optimization
  • Vendor commercial management (renewals, SLAs, penalties, exit readiness)
  • Lifecycle management (upgrade strategy, deprecation, rationalization)
• Provide clear executive-level reporting: value, risks, and trade-offs.

• Build strong partnerships with functional leaders (Finance, Supply Chain, Commercial, Operations).
• Ensure product owners exist and decision rights are clear.
• Remove friction that prevents value realization (adoption barriers, unclear ownership, conflicting metrics).

• D365 F&O or comparable ERP platform leadership
• Microsoft data ecosystem exposure (Fabric, Azure, Power BI) strongly preferred
• Experience in high-growth environments and/or IPO readiness journeys
• Supply chain + finance process understanding (enough to govern outcomes and trade-offs)
• Experience implementing governance without slowing business velocity