Data Product Manager, Methodology & Semantic Governance

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

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