Scalable Operations Lead
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In this role you guide the Scalable Operations Division to align ops with Nadara’s strategy, driving TOM design, KPI framing, and cross-functional governance. You’ll manage multi-stakeholder initiatives across M&A, organic growth, and Ops Initiatives, while advancing automation and AI within the TOM. You’ll produce COO-ready outputs, mentor analysts, and partner with IT&D on credible, value-driven tech solutions. This is a chance to shape scalable operations in a mission-driven renewables company.
Retribuzione / Benefits- flexible ways of working
- continuous learning and development opportunities
- wellbeing initiatives (physical, mental and emotional)
- fair pay and meaningful benefits
- international renewable energy company with growth potential
- opportunity for career advancement
- Design, develop, and continuously improve Operations-wide TOM processes and adoption
- Lead the Ops Initiatives process from idea submission to governance and delivery
- Own and govern SO initiatives from business case to execution
- Drive the automation and AI agenda within the TOM with a quantified impact
- Quantify and report impact against cost-to-serve KPI framework
- Facilitate senior stakeholder sessions and coordinate multi-department collaboration
- Provide inputs for growth projects from Organic Growth and M&A
- Maintain and improve the Lessons Learned Library and governance frameworks
- Support Associates and Analysts with quality control on outputs
- Align TOM adoption monitoring and enforcement across Scalable Operations
- Deep expertise in process design and improvement (Lean, Six Sigma, operational excellence)
- Experience designing KPI frameworks in an operations/industrial context
- Strong initiative management experience
- Ability to produce COO-ready analytical outputs independently
- Strong digital literacy to brief IT&D and assess solutions
- Comfort with data architecture and evaluating tool design decisions
- Advanced Excel and Power BI familiarity
- Familiarity with M&A transaction processes; energy/renewables or O&M experience is strongly preferred
- Knowledge of AI, automation concepts and feasibility assessment
- Ability to build business cases for automation and AI initiatives
- Critically assess vendor AI propositions and structure proofs of value
- Understanding of AI risk controls and EU AI Act considerations (preferred)
- Working user-level fluency with current AI tools (preferred)
- Structured problem-solving
- Executive-facing facilitation
- Independent multi-stakeholder coordination
- Process design and improvement methodologies (Lean, Six Sigma)
- KPI framework design and measurement
- Automation and AI feasibility assessment
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