At a Glance
- Tasks: Lead data-driven sales and marketing strategies while advising clients on best practices.
- Company: Join a forward-thinking company that values integrity and diverse perspectives.
- Benefits: Competitive salary, travel opportunities, and professional development in a dynamic environment.
- Other info: Opportunity to engage with industry leaders and shape innovative solutions.
- Why this job: Make an impact by leveraging AI and data to drive revenue growth for clients.
- Qualifications: 10+ years in client-facing roles with expertise in MDM and sales technology.
The predicted salary is between 80000 - 120000 £ per year.
We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Skills and Competencies
- Minimum of 10 years of experience in a client-facing, pre-sales, consulting, or product strategy role within the enterprise software, data analytics, or information services industries.
- Deep subject matter expertise in Master Data Management (MDM) as it applies to sales and marketing use cases, including CRM data enrichment, lead generation, account planning, and go-to-market strategy.
- Comprehensive understanding of the sales and marketing technology stack (e.g., CRM, sales intelligence, marketing automation) and third-party data integration patterns.
- Direct experience with the Salesforce ecosystem is a major plus.
- A proven ability to operate as a trusted advisor in complex and lengthy sales cycles; demonstrated experience in the technical sales of complex data, software, or SaaS solutions to senior-level stakeholders.
- Strong understanding of artificial intelligence concepts, particularly Generative AI and its practical applications in business workflows. Hands-on experience using AI tools is highly valued.
- Exceptional communication, presentation, and interpersonal skills with the ability to articulate complex concepts to both technical and C-level executive audiences.
- Ability to travel up to 40% to engage with clients, partners, and attend industry events.
Education
- Bachelor's degree in Computer Science, Business, Marketing, or a related field required.
- Advanced degree (MBA or equivalent) preferred.
Responsibilities
- Act as a senior subject matter expert and trusted advisor to clients and prospects on data-driven sales, marketing, and go-to-market best practices.
- Partner closely with sales teams and strategic partners to drive complex pre-sales engagements from qualification through deal closure.
- Lead solution architecture efforts by analysing client GTM processes, sales workflows, and data challenges.
- Elevate proposals and proofs-of-concept by demonstrating how Moody's data, analytics, and GenAI capabilities accelerate revenue growth.
- Develop and deliver impactful thought leadership through publications, events, webinars, and industry forums.
- Serve as the voice of the customer, translating market trends, client needs, and competitive dynamics into product and strategy inputs.
- Identify whitespace opportunities and build business cases for new capabilities, integrations, and GenAI-enabled solutions.
- Enable internal teams through training, coaching, and go-to-market enablement focused on sales acceleration use cases.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Sr Dir - Business Development - MDM, Sales & Marketing Intelligence in Whitehall employer: Moody's Corporation
At Moody's, we pride ourselves on fostering a dynamic work environment that champions innovation and collaboration. Our commitment to employee growth is evident through comprehensive training programs and opportunities for advancement, particularly in the rapidly evolving fields of data analytics and artificial intelligence. Located in a vibrant area, we offer a culture that values diverse perspectives and encourages curiosity, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Dir - Business Development - MDM, Sales & Marketing Intelligence in Whitehall
✨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 Moody's Corporation!
✨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 Sr Dir - Business Development - MDM, Sales & Marketing Intelligence in Whitehall
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 Moody's Corporation, 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 Moody's Corporation
✨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 Moody's Corporation’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.
