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About the Role

This individual contributor role is central to defining, calculating, approving, and evolving Curinos' benchmarks and metrics. You will steward the shared semantic layer that powers Curinos One, ensuring consistency and trust in business logic and metric definitions across the organization.

Responsibilities

Define Benchmark Methodologies: Own the standards, rules, calculations, eligibility criteria, data-use considerations, and documentation that make Curinos benchmarks consistent, explainable, and fit for client use.
Govern Methodology Decisions and Change: Hold approval authority over benchmark methodology changes. Lead the review and approval process for benchmark methodology changes, working with Product, Data, Risk, Legal, and client-facing teams to evaluate trade-offs, weigh controls, and reach sound, well-supported decisions.
Build the Shared Semantic Foundation for Curinos One: Steward the common metric definitions, business logic, metadata, lineage, and glossary, including field-level definitions and data grain specifications, so teams can reuse trusted analytical concepts across.
Steward the Semantic Layer as a Living Asset: Act as the accountable owner of the semantic layer's ongoing health, including data quality, lineage accuracy, and definition drift over time. When a metric definition degrades, a data source changes, or lineage breaks, you are the one who catches it, diagnoses it, and drives the fix, not just the one who wrote the original standard.

Requirements

4+ years of experience in Product Management, Data Governance, Analytics, Data Strategy, Technical Success, Advisory Services, Business Intelligence, or a similar role involving analytical products, data-intensive client solutions, methodology design, business logic, or cross-functional decision-making.
Demonstrated ability to work directly with data and methodology, including investigating datasets, understanding calculations, challenging assumptions, and translating findings into durable standards or decisions.
Proven ability to influence and align stakeholders across multiple teams without direct authority.
Experience creating, improving, and operationalizing governance, review, quality, or decision-making processes that people adopt and use consistently.
Ability to facilitate decisions across diverse stakeholder groups and drive complex analytical or methodological questions to resolution.
Excellent written communication and documentation skills, with the ability to make technical and methodological concepts clear to varied audiences.
Strong knowledge of retail banking products and data, including deposit and loan pricing, credit cards, transaction data, and digital engagement data.
Experience owning a data asset or system on an ongoing basis, not just designing it, including being accountable for its quality, accuracy, and upkeep over time.
Hands-on experience working with Databricks is required.
Strong data analysis skills, with the ability to independently investigate data, validate business logic, and troubleshoot methodology questions.
Ability to understand and challenge metric calculations, analytical outputs, data models, and data quality assumptions.
Working knowledge of Lakehouse architecture, semantic layers, data modeling, metadata management, data governance, and metric-definition frameworks.
Comfort partnering closely with Data Engineers, Analytics Engineers, Architects, Data Scientists, and Product teams.
Experience developing or governing benchmarks, comparative analytics, market intelligence, syndicated data, or other data-driven analytical products.
Experience building or governing semantic layers, business glossaries, metric catalogs, or shared analytical assets is preferred.
Familiarity with risk management, model governance, validation, audit, or regulatory review processes.
You are a strong self-starter who creates clarity and momentum in ambiguous, evolving environments.
You are naturally curious and willing to get hands-on with data, calculations, methodologies, and business logic.
You combine systems thinking and strong process instincts with pragmatism. You build processes that solve real problems, work efficiently, and earn adoption.
You maintain standards with discipline and follow-through while remaining collaborative and open to evidence.
You simplify complex concepts and build credibility with technical, commercial, client-facing, and risk stakeholders.
You proactively identify gaps, opportunities, and risks, then independently drive complex initiatives from concept through adoption.
You are comfortable holding a firm line on methodology integrity, including saying no to a shortcut a deal or deadline is pushing for, and you can defend that decision to senior stakeholders.

Skills

Product Management
Data Governance
Analytics
Data Strategy
Technical Success
Advisory Services
Business Intelligence
Analytical Products
Data-Intensive Client Solutions
Methodology Design
Business Logic
Cross-functional Decision-making
Data Investigation
Process Leadership
Stakeholder Influence
Process Improvement
Decision Facilitation
Written Communication
Documentation
Retail Banking Products
Deposit Data
Loan Pricing Data
Credit Card Data
Digital Engagement Data
Databricks
Data Analysis
Business Logic Validation
Methodology Troubleshooting
Metric Calculation Understanding
Analytical Output Understanding
Data Model Understanding
Data Quality Assumption Understanding
Lakehouse Architecture
Semantic Layers
Data Modeling
Metadata Management
Metric Definition Frameworks
Data Engineering Partnership
Analytics Engineering Partnership
Architecture Partnership
Data Science Partnership
Product Team Partnership
Benchmark Development
Comparative Analytics
Market Intelligence
Syndicated Data
Data-Driven Analytical Products
Business Glossary Development
Metric Catalog Development
Shared Analytical Asset Development
Risk Management Familiarity
Model Governance Familiarity
Model Validation Familiarity
Audit Process Familiarity
Regulatory Review Process Familiarity

Location

United States

Work Type

Hybrid
Remote

Experience Level

4+ years

Salary/Compensations

$145,000 - $155,000 USD (plus Bonus)

Benefits

Competitive benefits, including a range of Financial, Health and Lifestyle benefits to choose from.
Flexible working options, including home working, flexible hours and part time options, depending on the role requirements.
Unlimited PTO policy, floating holidays, volunteering days and a day off for your birthday.
Learning and development tools to assist with your career development.
Work with industry leading Subject Matter Experts and specialist products.
Regular social events and networking opportunities.
Collaborative, supportive culture, including an active DE&I program.
Employee Assistance Program which provides expert third-party advice on wellbeing, relationships, legal and financial matters, as well as access to counselling services.

About the Company

Curinos empowers financial institutions to put customers at the center of every decision. Our AI-first platform transforms proprietary data, advanced analytics and deep financial services expertise into timely recommendations - delivered right where teams work. The result: confident decisions, stronger customer relationships, and lasting, profitable growth.

Equal Opportunity

We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Curinos is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, color, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other protected characteristics.