Manager, Business Systems – Analytics

Responsibilities

• Configure tools, model data, work fluently inside business software, and contribute directly to ERP reporting and analytics delivery.
• Administer, configure, and improve our BI and reporting platforms (Power BI, Tableau, Loveable, Claude Design or similar).

Build and maintain data models, semantic layers, DAX/SQL, dataflows, and dashboards.

• Help own reporting against our ERP, accounting, and supply chain systems.

Configure integrations, design the data model, build reconciliations, and produce the financial, project, and supply chain reports the business runs on.

• Play an active, in‑the‑configuration role in the ongoing multi‑system implementation.

Partner with business architecture, IT, and functional leaders on the rollout of ERP and adjacent software supporting product development and sales.

• Contribute to business architecture work by mapping processes, data flows, and system boundaries across Finance, Supply Chain, Construction, Product Development, and Sales.
• Help define how data flows, evaluate platforms, and shape standards that scale, bringing an informed point of view to design and tooling decisions across the program.
• Standardize reporting across entities; implement automated data checks, controls, validation, and reconciliation across systems; establish and monitor KPIs.

Diagnose and resolve data issues with a high bar for accuracy.

• Develop solid operational understanding of order‑to‑cash, procure‑to‑pay, project accounting, inventory, product development, and construction cost flows so reporting and system design reflect how the business actually runs.
• Help define and implement AI‑enabled analytics, automation of recurring reports, and intelligent data pipelines.

Apply AI/ML to forecasting, anomaly detection, and insight generation.

• Work directly with Finance for accurate, auditable reporting; coordinate with IT on architecture, access, security; and translate analytics into clear decisions for operators across the portfolio and the implementation program.
• Drive adoption of analytics standards and data governance. Produce user guides, SOPs, data dictionaries, and training content.
• Stay current on analytics, ERP, and AI developments.

Hold informed views on platform capabilities, trade‑offs, and scalability, and be able to defend them with specifics from experience.

• Help set analytics standards and contribute to the roadmap, including AI adoption.

Grow over time from individual contributor into a player‑coach and people manager as the function scales, while remaining hands‑on.

Requirements

• Bachelor's degree in Data Analytics, Computer Science, Statistics, Finance, Business Administration, Engineering, or related field.
• 5+ years in data analytics, business intelligence, or financial reporting, with a clear track record of hands‑on work.
• Demonstrated functional depth in at least one major ERP (Net Suite strongly preferred; Oracle, SAP, MS Dynamics, or Workday considered) – including configuration, reporting, and an articulate point of view on capabilities, trade‑offs, and scalability vs. alternatives.
• 3+ years administering and building in modern BI tools – including data modeling, semantic layer design, and performance tuning.
• Proven experience designing, standardizing, and implementing reporting and data governance processes end to end.
• Deep fluency with business software used to run companies (ERP, BI, CRM, supply chain, PLM, CMMS) including configuration, administration, and getting the most out of these platforms.

Advanced spreadsheet and financial modeling skills.

• Hands‑on experience deploying AI‑assisted analytics or automation in production (not pilots or proofs of concept alone).
• Experience in construction, manufacturing, infrastructure, data center, or other production‑related industries preferred.
• Prior experience in fast‑paced, high‑growth or start‑up environments preferred.
• Domestic and international travel required.
• Execution orientation – bias toward shipping working solutions over producing strategy artifacts.
• Builder/operator mindset – comfortable in the tools and the configuration, not just coordinating others doing the work.
• Operational depth – fluency in end‑to‑end business processes and how they show up in systems and data.
• Implementation instincts – comfort working through requirements, configuration, testing, and go‑live alongside business and IT partners.
• Familiarity with business architecture concepts and process‑to‑system mapping a plus.
• Concrete communicator – explains work through specific examples, decisions, and measurable outcomes rather than frameworks and generalities.
• Strong ownership of data accuracy and a high bar for the numbers.
• Ability to build structure in ambiguous environments without requiring it to be built around them.
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