7 дней назад
Delivery Operations Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Delivery Operations Manager (AI Engineering): Managing staffing, resource allocation, capacity planning, and onboarding for delivery teams building AI-driven simulation software with an accent on workforce planning, stakeholder alignment, and data-backed operational decisions. Focus on balancing project demand and capacity, resolving skills gaps and staffing exceptions, and improving workflows from onboarding through allocation, rotation, and transition.
Location: London, United Kingdom. Hybrid model with regular time in the Shoreditch office and work-from-home days.
Company
is a deep-tech company building an AI-driven simulation software stack for engineering and manufacturing across aerospace and defense, materials, energy, semiconductors, and automotive.
What you will do
- Synthesize staffing needs from Account Leads, Tech Leads, Commercial, and Talent into decision-ready requirements, options, and actions.
- Maintain accurate resource-planning data, including allocations, project ownership, dates, and allocation types.
- Monitor bench levels, utilization, surge capacity, project balance, demand feasibility, skills gaps, and upcoming transitions.
- Investigate staffing exceptions and provide recommendations, trade-offs, prioritization views, and staffing scenarios.
- Coordinate Delivery onboarding for new company joiners and employees moving onto projects.
- Improve and automate workflows from onboarding through allocation, rotation, and transition.
Requirements
- 2–3+ years of experience in strategic operations, resource management, staffing, workforce planning, or a closely related field.
- Experience working with CRM or staffing/ERP systems, spreadsheets, BI tools, analysis, and reporting.
- Strong stakeholder management, negotiation, diplomacy, and communication skills across teams with competing priorities.
- Ability to turn incomplete or conflicting information into clear choices, trade-offs, recommendations, and actions.
- Precise and meticulous approach to maintaining systems, data, and operational information.
- Experience improving processes and using data to influence decision-making in a product-and-services, consulting, or professional-services environment.
Culture & Benefits
- Flat structure where ideas are valued regardless of hierarchy.
- Collaborative environment with engineers, scientists, and operators working on complex real-world problems.
- Equity options and a 10% employer pension contribution.
- 25 days of annual leave plus public holidays, private medical insurance, enhanced parental leave, and a nursery scheme.
- Personal development support, Employee Assistance Programme, Wellhub subscription, eye tests, free office lunches, Bike2Work scheme, season ticket loan, and EV salary sacrifice.
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