|
About Us Morningstar Credit Analytics is a leading provider of structured finance data and analytical models, delivering mission-critical intelligence to institutional investors, asset managers, and financial institutions across the globe. As AI reshapes how financial professionals access and act on data, we are investing aggressively in partnerships with the world's leading AI and data platforms to ensure our data is embedded where our clients work. The Opportunity We are seeking a commercially driven Senior Sales & Partnerships Manager who thrives in both a relationship management and a hunter role. This is a dual-mandate position: you will manage and grow an existing book of institutional client accounts while simultaneously prospecting and closing new business. A key and growing pillar of this role is building strategic partnerships with leading AI and data platforms - including Snowflake, Databricks, Anthropic (Claude), OpenAI (ChatGPT), and similar ecosystems. This is a high-visibility, high-impact position that sits at the intersection of financial data, client success, and the AI revolution. You will work closely with our product, technology, and executive teams to deepen existing client relationships, expand revenue, and forge distribution partnerships that position our data where the market is heading. What You'll Do Account Management (existing clients)
Serve as the primary relationship owner for an assigned portfolio of institutional clients including asset managers, hedge funds, banks, and insurance companies Conduct regular business reviews, understand evolving client needs, and proactively identify upsell and cross-sell opportunities Ensure high client retention by delivering an exceptional service experience and acting as the internal advocate for client needs Manage contract renewals and negotiate pricing with existing accounts
New Business Development
Prospect, qualify, and close new client accounts across buy-side and sell-side financial institutions Develop and execute a territory plan targeting firms that would benefit from our structured finance data and analytical models Manage a full sales cycle from initial outreach through contract execution Represent the company at industry conferences and events to generate leads and build market presence
AI Platform Partnerships
Identify, negotiate, and close data distribution and integration agreements with AI and cloud data platforms (Snowflake Data Marketplace, Databricks Marketplace, AWS Data Exchange, Anthropic, OpenAI, and others) Develop commercial models - licensing, revenue share, API consumption - that align our data assets with partner go-to-market motions Work with product and engineering to develop platform-ready data packages and integrations that meet partner technical requirements Build and maintain executive-level relationships with business development and partnership leaders at target platforms
What We're Looking For Required
5-10 years of B2B sales or business development experience, with a strong track record of closing complex, multi-stakeholder deals Demonstrated experience selling or distributing data - structured finance data, fixed income analytics, ABS/MBS/CLO models, credit data, or comparable financial datasets strongly preferred Familiarity with AI and data platforms such as Snowflake, Databricks, AWS, Azure, or major LLM providers (Anthropic, OpenAI); you don't need to be an engineer, but you must be able to speak credibly about how our data integrates with these ecosystems Proven ability to navigate long enterprise sales cycles and manage multiple stakeholders simultaneously Excellent communication and presentation skills - able to translate complex data products into clear business value for both technical and business audiences Based in New York City or Chicago, IL (hybrid - 4 days per week in office required, except when traveling for client meetings, conferences, or partner engagements) Willingness to travel up to 30% for partner meetings, conferences, and client events
Preferred
Prior experience at a financial data provider (e.g., Bloomberg, MSCI, Moody's Analytics, Trepp, Intex, ICE Data Services) or a structured finance-adjacent firm Experience structuring or commercializing data marketplace listings on Snowflake Marketplace, Databricks Marketplace, or AWS Data Exchange Familiarity with AI model training data licensing or data-as-a-service (DaaS) commercial models Existing relationships within the Snowflake, Databricks, or hyperscaler (AWS/Azure, GCP) partner ecosystems Understanding of structured finance asset classes including ABS, CLOs, CMBS, RMBS, or leveraged loans Experience working in both large enterprise and startups/early-stage company environments
Why Join Us
Be the first mover in a category that is growing rapidly - financial data on AI platforms is one of the most active areas of enterprise partnership activity in 2026 Work directly with senior leadership and shape the company's AI distribution strategy from the ground up Sell a product with genuine differentiation - structured finance data and models that have no easy substitutes Competitive compensation with significant upside tied directly to your impact
Compensation: Base Salary Range - $125,000 - $140,000 Total Compensation - $157,000 - $180,000 About Us
Morningstar DBRS is a leading provider of independent rating services and opinions for corporate and sovereign entities, financial institutions, and project and structured finance instruments globally. Rating more than 4,000 issuers and 60,000 securities, it is one of the top four credit rating agencies in the world.
Morningstar DBRS empowers investor success by bringing more transparency and a much-needed diversity of opinion in the credit rating industry. Our approach and size allow us to be nimble enough to respond to customers' needs in their local markets, but large enough to provide the necessary expertise and resources they require. Market innovators choose to work with us because of our agility, tech-forward approach, and exceptional customer service.
Morningstar DBRS is the next generation of credit ratings. Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:
Financial Health
Physical Health
Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-termdisabilityinsurance Emotional Health
Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & FormalMentorshipOpportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health
Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups
If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentiality to our Compliance team (days vary by region). These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.
030_MstarCredInfoAnalyticsLLC Morningstar Credit Information & Analytics LLC Legal Entity
|
Morningstar, Inc.
life insurance, parental leave, tuition reimbursement, 401(k)
Apr 21, 2026