AVP, Sales & Partnerships Manager – Data & AI Platforms

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 worlds 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 Youll 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 Were Looking For

Required

• 510 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 dont 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 Moodys 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 companys 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 - $125000 - $140000

Total Compensation - $157000 - $180000

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 4000 issuers and 60000 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. Thats 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

  • 100% 401k match up to 6% of salary

  • Stock Ownership Potential

  • Company provided life insurance - 1x salary commission

• Physical Health

  • Comprehensive health benefits(medical/dental/vision)including potential premium discounts and company-provided HSA contributions (up to $500-$2000 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 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.

Morningstars hybrid work environment gives you the opportunity to collaborate in-person each week as weve found that were at our best when were purposely together on a regular 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 youll have tools and resources to engage meaningfully with your global colleagues.