Senior Forecasting Manager

About Us

TravelPerk is a hyper-growth SaaS business travel platform and a pioneer in the future of travel for work. Its all-in-one platform gives travelers the freedom they want whilst providing companies with the control they need. The result saves time, money, and hassle for everyone.

TravelPerk has industry-leading travel inventory alongside powerful management features, 24/7 customer support, state-of-the-art technology, and consumer-grade design.

Founded in 2015 and headquartered in Barcelona, we’ve grown to over 1,400 people across Europe and North America. In 2022 we became a ‘unicorn’ and in 2025 we raised $200 million in a Series E funding round, increasing our valuation of $2.7 billion.

We’ve been winning awards too. Since 2023, we’ve been voted one of the best places to work, one of the fastest-growing apps and tech companies, and a leading pioneer of business travel.

These are just some of the reasons why global brands like Wise, Red Bull, GetYourGuide, and Aesop trust us to get the most out of their travel

Senior Forecasting Manager

About the role:

We are seeking a strategic and visionary Senior Forecasting Manager to join our team. In this leadership role, you will drive the development and evolution of our analytical forecasting model and capacity plan, ensuring they are accurate, scalable, and aligned with the broader objectives of the business. You will champion operational excellence and deliver critical insights that directly shape our customer experience and resource planning strategies. This role is pivotal to helping us deliver a 7-star experience to our customers while optimizing the use of our operational capacity.

What you will do:

• Lead the end-to-end development, refinement, and oversight of forecasting models across all operational channels (email, chat, phone), regions, and skill sets, with a short- to mid-term outlook (intra-day to monthly).
  
  
• Drive innovation in forecasting methodology and proactively identify improvements in predictive accuracy and business impact.
  
  
• Own and evolve the capacity planning process, collaborating closely with Operations to ensure the right people are in place at the right time across our global footprint.
  
  
• Translate complex data into actionable business insights and strategic recommendations that inform strategic decisions across multiple departments and leadership levels.
  
  
• Partner cross-functionally with WFM and Product teams to align workforce planning with business automation initiatives, special events, and growth opportunities.
  
  
• Lead retrospective analyses to uncover workload trends and drivers, facilitating data-backed process and product improvements.
  
  
• Be a trusted strategic advisor, aligning your team’s outputs with long-term business objectives and shaping TravelPerk’s planning and forecasting roadmap.
  
  
• Ensure your team delivers quality outputs, reducing technical debt, improving tools and processes, and implementing robust monitoring systems.
  
  
• Take ownership of key results and influence company-wide OKRs through your team's contributions.
  
  
• Represent the Forecasting domain in leadership forums and proactively contribute to broader organizational transformation strategies.
  
  

What you need:

• A proven track record of excellence (3+ years experience) in forecasting, workforce management, or analytics leadership roles, preferably within fast-paced, customer-centric organizations.
  
  
• Deep expertise in contact center/WFM metrics, KPIs, and planning strategies, ideally working with a BPO footprint
  
  
• Outstanding stakeholder management and communication skills, with experience influencing senior leaders and cross-functional teams.
  
  
• Demonstrated ability to think strategically and translate vision into actionable plans with measurable outcomes.
  
  
• High level of proficiency in SQL, Excel, and data visualization tools; ability to mentor others in these skills, experience using workforce management tools like Calabrio
  
  
• Strong mathematical and statistical foundation, with practical experience building and validating predictive models.
  
  
• Experience managing and developing high-performing analytical teams.
  
  
• A strong sense