At a Glance
- Tasks: Drive business performance with data-driven insights and strategic recommendations.
- Company: Join Meta, a leader in tech innovation and global impact.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on AI integration and regional market understanding.
- Why this job: Be the voice that shapes strategies and influences decisions at a global scale.
- Qualifications: 7+ years in strategy/operations, strong analytical skills, and proficiency in SQL.
The predicted salary is between 75600 - 92400 £ per year.
Meta is seeking a highly strategic, quantitative, and insight-driven business leader to join the EMEA Sales Strategy Planning & Operations team. This role is central to driving business performance by being the objective, trusted voice to the sales organization, surfacing insights that inform critical decisions and delivering regional context and last-mile execution awareness into global Go-To-Market strategy. You will translate complex data into strategic recommendations that drive measurable business outcomes, serving as the bridge between regional market realities and global decision-making.
Responsibilities:
- Deliver objective, data-driven insights that inform critical business decisions and drive measurable impact.
- Surface regional context and market nuances to ensure last-mile execution awareness shapes Go-To-Market strategy.
- Partner with Sales leadership and cross-functional stakeholders to uncover trends, identify opportunities, and provide strategic recommendations that influence business direction and resource allocation.
- Champion the regional perspective in global forums, providing data-driven feedback on market dynamics and product opportunities to central teams.
- Communicate and influence leadership regularly, synthesizing insights into compelling narratives that highlight opportunities, risks, and strategic recommendations.
- Drive alignment across regional and global teams, ensuring strategies are grounded in local execution context.
Required Qualifications and Experience:
- 7+ years of experience leading strategy and operations projects in a consulting environment, corporate strategy/operations team, quantitative field (e.g. investment banking, PE/VC) or similar tech company.
- Strong systems thinking with experience automating workflows and leveraging AI tools to drive efficiency and scale.
- Proficient in SQL and experience extracting and manipulating data from large / complex databases.
- Track record of using data to understand business problems, generate actionable insights and recommendations.
- Problem solving and analytical skills, proficiency in solving complex and varied business problems (commercial, operational, organizational).
- Experience communicating with and influencing stakeholders at all levels of an organization.
- Experience delivering results in dynamic environments by adapting priorities, collaborating across teams, and communicating trade-offs to stakeholders.
Preferred Qualifications:
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
- Experience with data visualization tools (e.g., Tableau, Looker).
- Experience building and deploying AI-powered automation solutions to scale analytical workflows.
- Experience in advertising, media, or technology industries.
- MBA or advanced degree in a quantitative field.
- Background working in or supporting EMEA markets with understanding of regional business dynamics.
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
- Familiarity with Meta's advertising products and sales ecosystem.
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
Sales Strategy Planning and Operations Lead - EMEA in City of Westminster employer: Meta
Meta is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the Senior AI/ML Monetisation Engineer role. Located in a vibrant tech hub, employees benefit from cutting-edge resources, ample opportunities for professional growth, and a collaborative environment that encourages creativity and experimentation in the field of machine learning and advertising technology.
StudySmarter Expert Advice🤫
We think this is how you could land Sales Strategy Planning and Operations Lead - EMEA in City of Westminster
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Meta!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Sales Strategy Planning and Operations Lead - EMEA in City of Westminster
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Meta, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Meta
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Meta’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
