Scalable Operations Lead

Nadara Services (Spain) S.L.U.; Madrid; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Nadara is seeking a Scalable Operations Lead to drive the TOM design, KPI adoption, and cross‑department coordination. You will own automation and AI initiatives, oversee governance of growth initiatives, and partner with M&A and Ops teams to deliver COO‑level outputs across a dynamic energy business.

Leveraging deep process expertise, you will lead complex multi‑stakeholder programs, build performance frameworks, and ensure data‑driven decisions.

Formación

• Deep expertise in process design and improvement methodologies.
• Experience designing KPI frameworks and governance.
• Strong initiative management and ability to produce COO-ready outputs.
• Advanced Excel and data literacy; familiarity with Power BI or equivalent.

Responsabilidades

• Contribute across Scalable Operations' full scope (M&A, Organic Growth, Ops Initiatives).
• Lead design and improvement of TOM processes and adoption across all Ops departments.
• Oversee Ops Initiatives from idea submission to governance and execution.
• Own Operations automation and AI agenda within the TOM and quantify impact of initiatives.

Conocimientos

Process design

Lean Six Sigma

KPI frameworks

Strategic thinking

Data literacy

Excel

Power BI

Automation

AI initiatives

M&A integration

Herramientas

Power BI

Excel

Descripción del empleo

R0001567 Scalable Operations Lead (Open)

We’re Nadara. We work harmoniously with the power of nature and the communities around us to power lifetimes to come. We call our approach ’living energy’. We don’t just produce renewable energy, we live it – recognising our relationship with the people touched by our business and supporting social, educational, cultural, and environmental initiatives that contribute to the development of the communities we work alongside. Discover more about our business here: https://nadara.com/about/ Nadara is an innovative place to work. We work in a stimulating and challenging environment, where every day we explore the unknown with curiosity, make decisions with quality and take action and deliver with courage. For us diversity is a real value, and we encourage in connecting different perspectives with respect. Discover more about our culture and approach here: https://nadara.com/living-the-company/

Job Description Summary:

The Scalable Operations Division ensures Operations’ alignment with Nadara’s strategy through: 1) Coordinating communication between Ops and other departments, focusing on growth projects (organic and inorganic) 2) Monitoring progress & strategic alignment of all Ops initiatives (O&M and Digital) 3) Continuously improving the Ops Target Operation Model (TOM) to meet Nadara’s strategic objectives and reduce Cost-to-Serve; ensuring the TOM’s correct adoption and enforcing systems discipline across all assets and centralized functions. This includes analyzing the current TOM and its current adoption, identifying opportunities for improvement, developing and executing Scalable Ops initiatives, and managing Ops Metrics and KPIs. As Scalable Operations Lead - Ops Transformation, you will co‑own the Scalable Operations Division's full mandate (1, 2 & 3) alongside the “Scalable Operations Lead - Asset Integration”, with a differentiated depth in Target Operating Model (TOM) design and initiative governance (points 2 and 3). Assignments rotate based on the live portfolio of growth projects and initiatives, ensuring no pillar ever lacks a senior owner. You will produce COO‑ready outputs independently, lead working sessions with Heads of Departments, and manage complex, multi‑stakeholder coordination across Scalable Operations' three pillars (M&A & Growth, Ops Initiatives, TOM Design & Initiatives). You will also own the automation and AI dimension of the TOM: deciding where technology can credibly remove effort, what has to be true for it to work, and how the benefit is proven. Report to the Head of Scalable Operations.

Job Description: Key Responsibilities and Authorities

• Contribute across Scalable Operations' full scope (M&A, Organic Growth, Ops Initiatives), rotating assignments based on live portfolio priority alongside the Scalable Operations Lead - Asset Integration
• Lead the design, development, and continuous improvement of Operations-wide TOM (Target Operating Model) processes, ensuring adoption across all Ops departments
• Lead the Ops Initiatives process - from improvement idea submission through prioritization, planning, implementation monitoring, and SteerCo governance
• Manage SO Initiatives – from business case creation to initiative execution and governance (level of required involvement per initiative varies depending on whether or not SO is the main initiative stakeholder)
• Own the Operations automation and AI agenda within the TOM: maintain a single view of where technology can remove effort across Operations, and convert it into a sequenced, business‑cased portfolio
• Assess candidate AI and automation use cases for value and feasibility, judging which are deliverable now, which are blocked by data or process foundations, and which should be rejected
• For all SO initiatives, including automation and AI, quantify impact and track impact during implementation, separating claimed savings from realized savings, and report them into the cost‑to‑serve KPI framework
• Design and implement KPI frameworks to measure TOM adoption and operational performance, and own the process for maintaining those frameworks as the TOM evolves
• Design and facilitate working sessions with Heads of Departments and Ops Teams on process improvement, and TOM implementation
• Provide Organic Growth and M&A departments with inputs for growth projects
• assist “Scalable Operations Lead - Asset Integration” in the development of standard base cases
• Manage Operations’ Lessons Learned Library (shared responsibility across Scalable Operations Division)
• Independently manage complex, multi‑stakeholder coordination across Scalable Operations' full mandate, producing COO‑ready strategic and analytical outputs
• Provide senior support to the Associates and Analyst within Scalable Ops Division, and provide quality control on their outputs for Initiatives and TOM workstreams
• Develop and maintain the framework for Ops Initiatives prioritization, portfolio governance. Develop and maintain the framework for TOM adoption monitoring and enforcement.
• Act as Operations' informed counterpart to NAIT and IT&D digital on AI initiatives: challenge proposed solutions on data readiness, integration, adoption, and total cost of ownership, and define acceptance criteria before commitment
• Health & Safety, Quality and Environment (HSQE) This document must be read in combination with the HSQE Management System Manual, available on Nadara Intranet, which outlines the mandatory HSQE responsibilities and authorities related to this role.

Technical Competences

• Deep expertise in process design and improvement methodology (e.g., Lean, Six Sigma, operational excellence frameworks) - required
• Experience designing and implementing KPI frameworks in an operations or industrial context - required
• Strong initiative management experience - required
• Ability to produce COO‑ready analytical and strategic outputs independently - required
• Strong digital literacy: able to specify automation and system requirements with enough precision to brief IT&D teams, define acceptance criteria, and critically assess whether delivered solutions meet operational needs - required
• Comfortable evaluating data architecture and tool design decisions at a conceptual level, and pushing back on IT when proposed solutions are over‑engineered, misaligned, or insufficient - required
• Advanced Excel and data literacy; familiarity with Power BI or equivalent - required
• Familiarity with M&A transaction processes (due diligence, integration) - advantage
• Experience in the renewables or energy industry - strongly preferred
• Experience in O&M - strongly preferred

Artificial intelligence, automation and their enablers

• Working understanding, at conceptual level, of the main classes of AI and automation capability and what each realistically delivers in an operations context: predictive and machine-learning models (failure prediction, production and consumption forecasting), computer vision (inspection and imagery review), language models and agents (document handling, structured extraction, drafting, workflow orchestration), optimization and scheduling, and conventional deterministic automation such as workflow tools and RPA - required
• Understanding of the enablers that determine AI or automation solution feasibility: data availability and quality, master data and asset hierarchy consistency, system integration and APIs, identity and access management, process standardization, solution and model ownership, and user adoption and change management - required