Manager, Business & Process Analytics

Status: Exempt (salaried)                                         

Department: Service & Data Product Management

Position Summary

Plug Power, a leading provider of comprehensive hydrogen fuel cell turnkey solutions, is seeking a Senior Manager, Business & Process Analytics to join our Service & Data Product Management function. At Plug, we create products every day that change the way energy is produced and delivered. We offer a culture that is ideally suited to people who enjoy the focus, collaboration, and discipline required to shape innovative technologies into real-world products. Reporting directly to the Product Manager – Service & Data, this role sits at the intersection of business transformation, data analytics, and process excellence, with a mandate to translate fragmented commercial and service processes into structured, digitized, and data-driven operating models. The role has a global scope, is anchored in the Netherlands, and requires regular international travel to support alignment across regions, product lines, and operational teams. This is a senior individual contributor role with strategic influence: it does not own a standalone P&L or operational execution teams, but is accountable for defining, structuring, and enabling the analytical, digital, and process foundations on which commercial and service organizations depend. The ideal candidate will be a strong analytical thinker who can translate ambiguous business problems into scalable processes, data, and digital solutions, and communicate complex topics clearly to senior stakeholders.

Core Duties and Responsibilities

• Map and structure end-to-end commercial and operational processes, including critical handovers with service, operations, procurement, IT, and sales, for the priority domains.
• Identify structural inefficiencies, manual handoffs, and data gaps that drive cost leakage, delays, or inconsistent execution.
• Define target-state processes that are digitally enabled, data-driven, and scalable across regions and product lines.
• Establish process ownership, documentation standards, and governance frameworks to ensure sustainability beyond initial implementation.
• Contributes to the selection, implementation, and adoption of digital platforms and analytical tools that underpin commercial and service execution.
• Translate commercial and service questions into clear analytical requirements, KPI definitions, and data models.
• Design, validate, and coordinate further developments of standardized dashboards, reports, and analytical views that support operational, tactical, and strategic decision-making.
• Create comparable benchmarks and baselines across teams and regions to objectively assess performance, robustness, and improvement potential.
• Act as the bridge between business stakeholders and IT / data engineering teams, ensuring requirements are clearly articulated and practically implementable.
• Identify opportunities to replace manual, spreadsheet-driven workflows with automated, system-based solutions.
• Contribute to the prioritization and definition of analytics-driven automation initiatives, particularly in service analytics, diagnostics, performance management, and commercial effectiveness.
• Ensure digital and analytical solutions are embedded into operational routines rather than existing as standalone reporting artifacts.
• Define and enforce data governance principles, including ownership, quality standards, and lifecycle management for critical commercial and service datasets.
• Support the establishment of single sources of truth for key commercial and service metrics.
• Work with IT and adjacent teams to improve data quality at the source, rather than compensating downstream through manual correction.
• Ensure compliance with internal data standards and applicable external requirements.
• Work in close partnership with the Product Manager – Service & Data to align process, analytics, and digital initiatives with the broader transformation roadmap.
• Collaborate with service operations, procurement, IT, and commercial teams to ensure solutions are relevant, adopted, and actionable.
• Act as a trusted partner to senior stakeholders by framing complex data, platform, and process topics in clear business terms, and support change adoption by grounding transformation initiatives in operational reality.

Education and Experience

• Understanding of how technical systems, business processes, and economic drivers interact.
• Ability to translate strategy into executable operating models.
• Quantitative reasoning and analytical problem-solving.
• Application of data science and analytics to real-world business decisions.
• Structuring ambiguous problems into clear, decision-oriented frameworks.
• Senior-level experience in business analytics, process improvement, digital transformation, or a closely related domain.
• Proven ability to operate across organizational boundaries in complex, industrial, or technology-driven environments.
• Track record of translating ambiguous business problems into structured processes, data, and digital solutions.
• Strong analytical capability using data tools and languages such as SQL or Python, applied within broader analytics and data platforms.
• Experience working with data visualization and reporting tools (e.g. Power BI or equivalent).
• Familiarity with (IoT) cloud-based data platforms and digitally enabled service or commercial environments.
• Experience using process mapping and modeling tools (e.g. BPMN-based tools or equivalents).
• Ability to work conceptually across tools rather than being tied to a specific technology stack.