Morningstar Sustainalytics’ Climate and Nature Solutions team is looking for an Associate Product Manager to join their dynamic group, focusing on developing decision-useful nature and climate-related data products. This role involves working closely with climate research, data operations, data science, and engineering teams to build high-quality datasets and product capabilities for investors. Day-to-day responsibilities include defining data structures, quality checks, documentation, and evaluation metrics; partnering with technical teams to deliver AI-enabled data pipelines; applying climate context to product decisions; writing clear requirements; and engaging with clients to validate needs and track adoption. The ideal candidate has 2-5 years of experience in data-centric products, particularly in climate or sustainability areas, along with a background in economics, finance, environmental science, or computer science. Technical skills such as familiarity with cloud platforms, feature stores, ML operations, and AI governance are essential, alongside an understanding of climate investing concepts like financed emissions and transition risk.
Skills
Python
SQL
PostgreSQL
AWS
Azure
Google Cloud Platform
Kubernetes
Docker
CI/CD
Git
GitHub
JIRA
Terraform
ESG
TCFD
ISSB
GIS
Remote Sensing
Machine Learning
Data Engineering
Cloud Data Platforms
Feature Stores
MLOps
AI Governance
Model Risk Management
What you'll do
Define data structures, quality checks, and evaluation metrics for nature, climate, and geospatial datasets.
Translate technical outputs into clear user value by partnering with data science and engineering teams.
Connect investor use cases to data and feature priorities using climate and location-based context.
Write requirements, manage a prioritized backlog, and coordinate across research, platform, and go-to-market teams.
Engage with clients and internal stakeholders to validate needs, test usability, and track adoption and impact.
What we're looking for
2-5 years of experience with data-centric products, including climate or geospatial datasets.
Bachelor’s degree in a relevant field (Economics, Finance, Data Science, Environmental Science, Computer Science) or equivalent experience.
Comfortable collaborating with data science and engineering teams; technical fluency to discuss data pipelines and metrics.
Familiarity with climate investing concepts such as financed emissions, transition risk, and portfolio alignment.
Experience with ESG or climate data providers, geospatial data, corporate emissions estimation, and climate disclosure frameworks.
Background in quantitative research, data engineering, or analytics supporting investment workflows.
Exposure to cloud data platforms, feature stores, ML operations, AI governance, and model risk management.
Market check
Salary context
This
$103,500–$129,267
range sits above
5%
of similar postings on FindRole.
Peer median band
$150,000–$225,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$155,000–$221,875
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Morningstar Inc
Morningstar, Inc. is a leading financial services firm providing independent investment research, data, and management services to individuals, advisors, and institutions.
Morningstar Inc currently has
12 open roles
on FindRole.
Listed pay typically runs
$114,100–$167,350
across 12 roles with salary data.
Product Management
Agile Methodology
Financial Analysis
Market Research
Customer Feedback
Go To Market Strategy
Sales Support
Training Materials Development
Service Strategy
Upsell/Cross Sell Identification
Partnership Identification
Voice of Customer
Engineering Collaboration
Marketing Collaboration
Terraform
AWS
Kubernetes