At a Glance
- Tasks: Lead AI initiatives to boost sales productivity and operational efficiency.
- Company: Join Convera, a global leader in commercial payments with a focus on innovation.
- Benefits: Competitive salary, performance bonuses, and career growth opportunities.
- Other info: Dynamic, inclusive culture with a focus on diverse perspectives and collaboration.
- Why this job: Make a real impact by transforming sales processes with cutting-edge AI solutions.
- Qualifications: 8+ years in Revenue Operations or related fields, with strong analytical skills.
The predicted salary is between 72000 - 88000 £ per year.
Principal Revenue Operations Analyst, AI & Sales Productivity
Reporting To
Head of Revenue Operations
Location
Remote/Hybrid
Role Overview
The Principal Revenue Operations Analyst, AI & Sales Productivity is a senior individual contributor responsible for defining and leading the Revenue Operations AI agenda.
This role identifies, prioritizes, and drives the implementation of AI-powered solutions that improve seller productivity, increase operational efficiency, and enhance commercial performance.
Acting as the strategic link between Sales, Revenue Operations, Enablement, and Product & Technology, the Principal Analyst will evaluate emerging AI capabilities, develop business cases, lead experimentation, and ensure successful adoption across the sales organization.
The successful candidate combines strong commercial acumen, advanced analytical capabilities, technology expertise, and change leadership to translate AI innovation into measurable business impact.
The role is accountable for ensuring that AI investments deliver tangible improvements in seller effectiveness, decision quality, forecast accuracy, and operational efficiency.
Key Responsibilities
- Own the Sales AI Strategy
- Develop and maintain the Revenue Operations AI roadmap aligned to commercial priorities.
- Identify and prioritize high-value AI use cases across the end-to-end sales process.
- Build business cases and investment recommendations for AI initiatives.
- Evaluate emerging AI technologies, copilots, agents, automation platforms, and productivity tools.
- Establish a structured framework for assessing business impact, technical feasibility, and adoption potential.
- Drive Sales Productivity Improvement
- Analyze sales workflows to identify manual activities, process bottlenecks, and productivity constraints.
- Design initiatives that increase seller selling time and reduce administrative effort.
• Lead programs that improve
- Prospecting effectiveness
- Opportunity progression
- Pipeline management
- Forecast quality
- CRM data quality
- Sales manager effectiveness
- Seller productivity
- Partner with Sales Leadership to embed AI into daily workflows and operating rhythms
- Lead AI Experimentation & Innovation
- Design and execute pilots, proof-of-concepts, and controlled experiments.
- Establish methodologies for measuring AI effectiveness and business impact.
- Develop playbooks and best practices for scaling successful use cases.
- Maintain a portfolio of AI opportunities and recommended initiatives.
- Serve as the organization's thought leader on AI applications within Revenue Operations and sales.
- Strategic Analytics & Value Realization
- Build measurement frameworks that quantify the impact of AI initiatives.
- Define productivity, efficiency, adoption, and revenue performance metrics.
- Deliver executive-level insights and recommendations based on quantitative analysis.
- Create dashboards and reporting that track realization of business value.
- Identify opportunities for continuous improvement and optimization.
- Influence Cross-Functional Transformation
- Partner with Sales, Revenue Operations, Rev Tech, Enablement, Product & Technology, and Data teams to deliver AI initiatives.
- Translate business challenges into clear operational and technology requirements.
- Influence priorities and investment decisions through data-driven recommendations.
- Facilitate alignment among senior stakeholders and executive sponsors.
- Drive organizational adoption of new ways of working enabled by AI.
- Governance & Change Leadership
- Establish governance frameworks for AI use case prioritization and implementation.
- Ensure initiatives align with organizational policies, controls, and technology standards.
- Support enablement and communication programs that accelerate adoption.
- Create repeatable processes for identifying, evaluating, and scaling productivity improvements.
Qualifications
Experience
- 8+ years of experience in Revenue Operations, Sales Operations, Commercial Strategy, Business Operations, Consulting, or Analytics.
- Demonstrated experience leading large-scale operational improvement or technology transformation initiatives.
- Experience evaluating, implementing, or supporting AI, automation, or advanced analytics solutions.
- Strong understanding of B2B sales processes, forecasting, pipeline management, CRM optimization, and seller productivity.
- Technical Skills
- Advanced Salesforce CRM knowledge.
- Strong analytical and modelling capabilities using Excel and business intelligence tools such as Power BI or Tableau.
- Experience working with AI platforms, copilots, agents, workflow automation, or related technologies.
- Ability to develop quantitative business cases and value realization frameworks.
- Leadership Competencies
- Strategic thinker with strong business and commercial acumen.
- Exceptional stakeholder management and influencing skills.
- Highly effective communicator capable of engaging senior executives.
- Operates independently in ambiguous environments.
- Strong project leadership and change management capabilities.
- Curious, innovative, and focused on measurable business outcomes.
- Success Measures
- Measurable increase in seller productivity and selling capacity.
- Adoption and utilization of AI-enabled workflows across the sales organization.
- Reduction in administrative effort and manual process execution.
- Quantified business value generated from AI initiatives.
- Improvement in forecast quality, pipeline management effectiveness, and CRM data quality.
- Number of AI use cases successfully scaled into business-as-usual operations.
- About Convera
Convera is a global leader in commercial payments that powers international business by moving money with ease.
We provide tech-led payment solutions to help more than 26,000 customers globally grow with confidence, from small businesses to CFOs and treasurers.
As experts in foreign exchange, risk and compliance, with an unrivaled regulatory footprint, Convera’s financial network spans more than 140 currencies and 200 countries and territories.
Our teams care deeply about the value we deliver to our customers, which makes Convera a rewarding place to work.
This is an exciting time for our organization as we expand our team with growth-minded, results-oriented people who are looking to move fast in an innovative environment.
As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view.
We want to work with the best people and ensure we foster a culture of inclusion and belonging.
We offer an abundance of competitive perks and benefits including
- Competitive salary
- Opportunity to earn a bonus (dependent on performance)
- Great career growth and development opportunities in a global organization
- Corporate benefits
There are plenty of amazing opportunities at Convera for talented, creative problem solvers who never settle for good enough and are looking to transform Business to Business payments.
Apply now!
Principal Revenue Operations Analyst, AI and Sales Productivity employer: Convera
Convera is an exceptional employer that fosters a dynamic work culture in Greater London, where innovation meets collaboration. Employees benefit from comprehensive growth opportunities, competitive compensation, and a supportive environment that values client relationships and proactive engagement. Join us to be part of a team that not only drives revenue growth but also makes a meaningful impact in the evolving world of cross-border payments.
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We think you need these skills to ace Principal Revenue Operations Analyst, AI and Sales Productivity
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 Convera, 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 Convera
✨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 Convera’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.
