Senior Director, AI Enablement & Solutions

Reposted Yesterday
Madrid, Comunidad de Madrid, ESP
Hybrid
133K-240K Annually
Senior level
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Empowering Investor Success
The Role
The Senior Director will oversee AI integration in Credit to enhance workflows, ensure compliance, and manage risk while leading a team within regulatory guidelines.
Summary Generated by Built In
Senior Director, Artificial Intelligence Enablement & Solutions (AIES)
The Role:
Morningstar DBRS is seeking a leader to define and steward how Artificial Intelligence is used across the Credit organization - ensuring AI is adopted safely, consistently, and in ways that materially improve Credit workflows and satisfies our highest quality standards, while meeting regulatory, methodological, and governance expectations.
This role offers the opportunity to shape how AI is responsibly embedded into MDBRS core workflows, modernize analyst experiences and data products at meaningful scale, and operate in an environment that values innovation, integrity, and impact.
This role is designed to help Credit teams adopt AI, without taking over product development, delivery management, or existing Product, Data, Technology, and Compliance functions. The successful candidate will manage a small team of other AI enablers and work closely with colleagues across all teams within Credit.
The Responsibilities:
  • Governance, Risk, and Guardrails
    • Define principles, standards, and guardrails for AI use in Credit, including:
      • Human‑in‑the‑loop expectations
      • Quality assurance processes
      • Explainability and auditability requirements
      • Appropriate handling of MNPI and regulated content
    • Partner closely with Compliance, Risk, Methodology Review Function, and Legal to ensure AI usage aligns with:
      • Regulatory expectations
      • Updates to our ratings processes, policies, and procedures
      • Rating independence
      • Methodological consistency
      • Intended contractual usage with third parties
    • Ensure governance is designed into workflows and patterns.
  • AI Direction and Strategic Framing
    • Define where AI should be applied at scale, where it should be constrained, and where it should not yet be used within Credit.
    • Translate Credit leadership priorities (e.g., analyst productivity, workflow efficiency, consistency, explainability) into clear AI enablement focus areas.
    • Establish a Credit‑specific AI posture that balances innovation with regulatory and reputational risk.
  • Workflow Adoption & Change Enablement (at the Enterprise Level)
    • Ensure AI capabilities are adopted and used responsibly within Credit workflows.
    • Champion incremental, phased adoption, consistent with Credit's risk profile and access constraints.
    • Sponsor and guide adoption approaches such as:
      • Narrow pilots
      • Controlled rollouts
      • Clear usage guidance
      • Quality and user acceptance feedback loops
      • Training patterns and job aids (in partnership with People & Culture and Central Technology)
    • Partner with Credit Technology to incorporate use cases into existing technological standards and embed into enterprise products, where applicable.
    • Collaborate with Central Technology to better understand and manage the vast presence of AI in enterprise tools to ensure conformity to MDBRS-specific policies and procedures.
  • Cross‑Functional Orchestration & Thought Partnership
    • Act as a senior thought partner to:
      • Credit leadership
      • Analytical leadership
      • Credit operations counterparts
      • Compliance, Risk, and Methodology Review Function colleagues
    • Serve as Credit's primary internal point of accountability for AI enablement discussions.
    • Represent Credit in cross‑Morningstar AI forums as needed.

The Requirements:
  • Direct experience working at a credit rating agency, preferably in an analytical capacity and/or rating team function, with ratings process or methodology expertise.
  • Strong understanding and application of AI concepts and use cases.
  • Strong communicator with executive presence.
  • Ability to translate AI capabilities into practical outcomes. Able to determine when AI should be applied to use cases vs. another solution.
  • Proven track record delivering outcomes in regulated, data intensive environments. Able to demonstrate measurable ROI on initiatives.
  • Strategic yet pragmatic; able to move from vision to execution, while balancing risks.
  • Demonstrated ability to lead through ambiguity and drive quick outcomes.
  • Entrepreneurial mindset grounded in risk awareness and responsibility.

Base Salary Compensation Range
EUR 86,000.00-120,666.66
Bonus Target:
20% Annual
We expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate's qualifications, experience, and other job-related factors.
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.
R10_DBRSRtgsGmbHSpain DBRS Ratings GmbH Sucursal en España - Spain Legal Entity

Skills Required

  • Direct experience in credit rating agency
  • Strong understanding of AI concepts
  • Track record in regulated data environments
  • Experience translating AI into outcomes

What the Team is Saying

Anna
Upasna
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Wendell
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Jeff

Morningstar Compensation & Benefits Highlights

  • Leave & Time Off Breadth Time away options include a paid six‑week sabbatical every four years and flexible time off in North America, with broad usage reported in 2024. Feedback suggests these programs are a distinctive strength by market standards.
  • Parental & Family Support A global minimum beginning in 2025 provides at least 16 weeks paid leave for primary caregivers and up to 8 weeks for secondary caregivers, plus at least 6 weeks paid caregiving leave. This breadth positions family support as a clear pillar of the package.
  • Equity Value & Accessibility An optional Shared Ownership program lets employees direct part of a bonus into RSUs with a 50% company match. This structure adds a notable long‑term ownership component to total rewards.

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The Company
HQ: Chicago, IL
11,500 Employees
Year Founded: 1984

What We Do

At Morningstar, we believe in building great products in-house in a highly collaborative, agile environment where we focus on technical excellence, the user experience, and continuous improvement. Our technologists represent a range of skills and experience levels, but they all view their work as a craft and push technology’s boundaries.

Why Work With Us

Imagining big things is in our blood -- it's transformed us from a company with just a few employees in 1984 to a leading independent investment research company with a worldwide presence today. As of April 2020, we acquired Sustainalytics to drive long-term meaningful outcomes for investors in the ESG space. Join us on this exciting journey!

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