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Curinos·Fintech·7 hours ago
7 hours agoBe an early applicant

Data Product Manager, Methodology & Semantic Governance

New York, United States of AmericaFull-timeMid · 4+ yearsAI Product Manager

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Must-have skills for this role

  • databricks
  • data governance
  • semantic layers
  • product management

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Apply faster with autofill FREEThe NextRaise extension autofills your application in one click.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • 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

What they're looking for

  • 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

Nice to have

  • 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

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

 

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.

Curinos operates under a hybrid modality and has office locations in New York, Chicago, Boston, Toronto, and London. This role is open to hybrid/ remote candidates based in the United States. 

Job Description

This highly visible individual contributor role sits at the intersection of Product, Platform, Analytics, and Subject Matter Expertise.

You will establish and maintain the standards that govern how Curinos benchmarks and metrics are defined, calculated, approved, and evolved. In practice, benchmark methodology includes the rules, calculations, eligibility and sufficiency criteria, data sources, quality standards, contractual considerations, and governance processes that make consistent, comparable, and trusted.

You will also serve as the steward of the shared semantic layer that powers Curinos One. This semantic layer is the common foundation for business logic, canonical metric definitions, calculation rules, metadata, lineage, and analytical concepts. It lets teams build from the same definitions rather than recreating them product by product, whether the consumer is a BI dashboard, an internal analyst, or an AI-driven feature within Curinos One.

This role combines analytical rigor, strong process leadership, and hands-on data investigation. You will dig into datasets, calculations, and business logic while designing governance that teams want to use because it reduces ambiguity, improves quality, and helps them move faster. 

You own the semantic layer and benchmark methodology as a data product, with a roadmap focused on trust, quality, and reusability rather than customer-facing features, and with real authority over what gets approved and how the underlying data asset is maintained over time.

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

What Success Looks Like

  • Benchmark methodologies are consistent, scalable, explainable, and trusted across products
  • Teams confidently reuse shared metrics and business logic rather than reinventing them
  • Methodology decisions are transparent, well documented, and easy to understand
  • Governance improves decision quality and delivery speed without creating unnecessary overhead
  • Curinos One operates from a trusted, well-governed semantic foundation
  • Stakeholders view you as the go-to expert for benchmark methodology, business logic, and metric governance
  • A living methodology handbook and metric catalog exist, are version controlled, and are the reference point teams cite instead of asking you directly
  • A documented change control process (intake, review, approval, communication) is in place and followed, with a clear audit trail for methodology changes
  • The semantic layer's health (data quality, lineage completeness, definition currency) is actively monitored, not just documented once and left to decay
  • When something breaks or drifts, a source change, a definition going stale, a quality issue, you catch it early through proactive monitoring rather than after the fact

Salary Range: $145,000- $155,000 USD (plus Bonus)

Desired Skills & Expertise

  • 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

Technical Qualifications

  • 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

Preferred Experience

  • 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

How You Work

  • 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[RL5]
  • 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

Why work at Curinos?

  • 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 – please ask!
  • 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

Applying

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't meet all the requirements. If you're excited about working for us and have relevant skills or experience, please go ahead and apply. You could be just what we need! 

If you need any adjustments to support your application, such as information in alternative formats, special requirements to access our buildings or adjusted interview formats please contact us at careers@curinos.com and we’ll do everything we can to help.

Inclusivity at Curinos

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.




Fintech

Company

CurinosFintech
New York, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Curinos's careers site·first seen 22 Sept 2026·last verified 22 Sept 2026·How we source jobs

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