10000 Marketing operations Jobs

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. 

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. 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. 

The Global Industry Practice Group is comprised of practitioners, former regulators, and subject matter experts specializing in risk lifecycle and strategies, insurance risk solutions, AML / financial crime compliance and third- party due diligence, portfolio optimization strategies, stress testing, transfer pricing, credit analytics, commercial real estate and data solutions. Within that Group, the Digital & Advanced Analytics practice brings together practitioners, technologists, and subject matter experts specializing in digital transformation, AI & Machine Learning risk analytics, Generative AI, and enterprise-wide AI/Gen AI adoption and business applications of the technology for financial institutions.

The Gen AI Practice Lead will be a subject matter expert role within the Global Industry Practice Group empowering financial institutions to improve their bottom-line performance through effective implementation of Generative AI technologies, responsible AI frameworks, and enterprise-wide AI transformation strategies. The Gen AI Practice Lead will be responsible for market outreach as well as advocacy on behalf of Moody's in the field of Generative AI, with particular emphasis on applications in banking, finance, and risk analytics across the entire AI lifecycle, from use case identification to deployment and governance. This includes specific focus on AI applications in credit risk assessment, financial crime prevention, lending, investment banking, and process automation within banking operations. The market engagement may take the form of industry presentations, articles and white papers, webinars, and workshops. Importantly, you will represent Moody's to industry associations, regulatory bodies, and AI standards organizations.

The Practice Lead will establish credibility and confidence in Moody's AI products and solutions with prospective clients and facilitate solution architecture to address customers' use cases based on existing, future and acquired solutions. This role will collaborate in the creation of new product offerings, value proposition, architecture, and facilitate market feedback to product development. The Practice Lead will interface with internal stakeholders such as product, strategy, research, advisory, and customer success teams to align Moody's solutions to industry challenges. The Practice Lead will work with Relationship Managers, Sales Representatives and Product Management to strategically design and position Moody's AI solutions for emerging business challenges to existing and prospective customers across diverse market segments. As a result, the Practice Lead will play a critical role in helping define and articulate the growth strategy for Moody's in the Generative AI segment.

The Gen AI Practice Lead must have good knowledge of the banking and financial sector in Europe, and a solid understanding of emerging AI trends, challenges, key concepts and building blocks for Gen AI solutions - including firsthand experience working with large language models, prompt engineering, Retrieval-Augmented-Generation (RAG) techniques, agent and multi-agent frameworks. Ultimately, the Gen AI Practice Lead is expected to have deep knowledge of at least one of the following business application areas for Generative AI: risk assessment and research, risk monitoring, compliance & KYC, business development, Mergers & Acquisitions research. Key requirement for a successful Practice Lead is ability to communicate complex AI concepts effectively, to interact confidently with C-Level executives and industry experts and demonstrate strong people and persuasion skills. Practice Leads build and maintain strong relationships with clients by identifying gaps and recommending solutions leveraging market and technical knowledge in the AI space.

Specifically, there are four areas of activities the Practice Lead will be engaged in:

• Driving sales and customer engagement: design, build and execute market outreach strategy (with sales, marketing and product management teams to win opportunities; develop clear, concise proposals and deliver targeted client demos that address client needs; act as trusted advisor to customers; proactively work with prospective clients through the sales process, providing thought leadership on best practices and technical assistance and guidance as required; respond to functional and technical queries of RFIs and RFPs; qualify and lead the Proof of Concept (POC) process in the sales cycle.

• Internal education: drive the preparation and circulation of market insight to create awareness of Moody's expertise internally; assist sales teams across the organisation on learning how to identify sales opportunities with the use of advanced use cases; conduct training sessions on the propositions, Moody’s solution set and emerging trends across a large and diverse teams of Relationship Managers and Sales Representatives; serve as an informal coach and expert to product consultants, sales professionals and customer success teams; create high quality training and client materials (e.g., PowerPoint decks, playbooks);

• Industry engagement & thought leadership: develop and maintain industry stakeholder relationships; speak at industry events; write white papers and maintain social media engagement.

• Market feedback for product development: translate emerging market themes and regulatory requirements into product requirements to future proof our solutions; identify valuable white space; keep abreast of the competitive landscape across portfolio solutions; build business case for product development and improvement. The role requires continuous education and strong product knowledge of the full Moody’s suite, its integration points and interoperability with the other Moody’s solutions.

Qualifications:

• Minimum of 10 years of experience in the advanced analytics, risk and AI business, gained through working at a top-tier consultancy or financial services company or supervisory authority
• Bachelor’s degree in data science, Economics, Finance, Engineering, Mathematics, or similar field
• ASA, FSA, CERA, CFA, CPA, PhD or MBA are a plus
• Hands-on experience using or implementing Moody’s (or direct competitor) products for underwriting, investment risk management or balance sheet management
• Ability to travel up to 50%
• Ability to work independently under minimal supervision
• Excellent written and verbal communication skills including the ability to listen to requirements and business problems in order to respond with the appropriate business answer
• Demonstrated ability to work in a high-pressure, deadline-oriented environment
• Demonstrated ability to influence and gain buy-in from skeptics
• Public speaking experience, publications, and/or internal lead on training within an organization are a plus
• Experience with complex sales cycles is a plus

For US-based roles only: the anticipated hiring base salary range for this position is [[£98,300.00 - [[£142,550.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.