Assistant Director – Product Manager (Business Intelligence)

Overview

In this role you will own analytics product strategy and drive measurable business outcomes for Moody’s Analytics. You will partner with cross‑functional stakeholders to understand objectives, translate needs into clear requirements, and prioritize roadmaps. You’ll coordinate with data, engineering and business teams to sequence work and drive adoption, while defining success metrics and ensuring impact. This is a chance to shape AI-enabled decision support that informs risk analytics at scale and across the commercial portfolio.

Responsibilities

• Own analytics product strategy, priorities and adoption for Moody’s Analytics
• Partner with business stakeholders to understand objectives, pain points, decisions and use cases
• Translate business needs into product requirements, user stories, acceptance criteria and backlog items
• Define the problem, users, value and decisions for each product investment
• Validate assumptions with stakeholders and users to ground direction in real needs
• Support development of product strategy and roadmap priorities across analytics products
• Coordinate with analytics, data, engineering and business teams to sequence work by value and dependencies
• Drive stakeholder alignment, adoption planning, communications, launch readiness and feedback loops
• Define product success metrics, monitor adoption and impact, identify improvement opportunities
• Prepare clear product narratives, roadmaps and materials for senior stakeholders

Key requirements

• 5+ years in product management, analytics, or related field
• Strong product thinking: define problems, use cases, prioritize needs
• Experience creating roadmaps, backlogs, and delivering analytics products
• Ability to align stakeholders and communicate priorities across audiences
• Experience defining outcomes, adoption metrics, and business impact measures
• Strong analytical problem-solving and the ability to translate data into insights
• Attention to detail and ability to work independently or in small teams under deadlines
• Experience with analytics products in financial services, risk analytics, SaaS or enterprise software (preferred)
• Familiarity with Power BI, Tableau, SQL, Python, Databricks or cloud analytics environments (preferred)
• Basic understanding of AI concepts and interest in responsible AI practices

• stakeholder management
• clear communication
• independence and initiative
• Power BI
• Tableau
• SQL

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