Data Product Owner

About MCO (MyComplianceOffice):

Join a global technology leader shaping the future of compliance and conduct-risk management.

MCO delivers enterprise SaaS solutions that help financial institutions reduce misconduct risk and demonstrate regulatory compliance. Our unified platform enables compliance teams to proactively manage employee behavior, firm activities, and third-party relationships at scale.

Established in 2008, MCO is headquartered in Dublin and operates globally with offices in London, Singapore, Hyderabad, New York, Chicago, and Fort Worth. We support more than

1,500 customers across 105 countries

, from fast-growing fintech's to the worlds largest financial institutions.

We are on a strong, sustained growth trajectoryexpanding our product portfolio, investing in new technologies (AI, automation, analytics), and scaling globally. Recently recognized as

Technology Company of the Year

, MCO offers a collaborative culture, diverse teams, and significant opportunities for career advancement.

If you want to build products that have real-world impact in a mission-critical domain, wed love to meet you.

Position Summary:

MCO is seeking a Product Owner to support the development and enhancement of Enterprise Data products that deliver trusted, governed, and reusable data services across the MCO platform.

This role combines product ownership, business analysis, and data analysis responsibilities. The successful candidate will work closely with Product Management, Engineering, Architecture, Operations, Compliance SMEs, and external data providers to research, define, and deliver solutions that improve enterprise data quality, governance, and usability.

The ideal candidate is highly analytical, curious, and detail-oriented, with experience working with complex datasets, enterprise data domains, and data-driven products. This role requires strong collaboration skills and the ability to translate business needs into scalable, well-defined product solutions.

Key Responsibilities:

Business Analysis & Requirements Management

Elicit, analyze, document, and validate business requirements.

Translate business needs into clear, actionable product requirements.

Perform impact analysis for proposed product, process, and data changes.

Ensure requirements are complete, accurate, and aligned with business objectives.

Support user acceptance testing and solution validation activities.

Partner with stakeholders to identify opportunities for process and data improvements.

Data Analysis & Research

Conduct detailed analysis of enterprise data domains and datasets

Investigate data quality issues, operational challenges, and business impacts.

Perform root cause analysis and provide recommendations for resolution.

Conduct data profiling, data mapping, data modelling, validation, and business rule analysis.

Analyze external providers datasets to assess quality, coverage, and business applicability.

Research industry trends, external data sources, and emerging capabilities relevant to MCO's enterprise data strategy.

Perform comparative analysis of data providers, enrichment opportunities, and potential data solutions.

Enterprise Data Management

Support initiatives related to:

Master Data Management (MDM)

Reference Data Management

Data Governance

Data Quality Management

Data De-Duplication

Data Retention & Lifecycle Management

Assist in defining business rules, matching logic, validation criteria, and governance processes.

Support onboarding, evaluation, and integration of new data sources.

Contribute to the development of data standards and stewardship practices.

Work closely with Architecture and Engineering teams to understand enterprise data models, data flows, and integration requirements.

External Data Provider Collaboration

Work with external data providers to understand data structures, quality, coverage, and business applicability.

Assist in resolving provider-related issues and enhancement requests.

Conduct research and analysis to support strategic data decisions.

Maintain awareness of provider capabilities, roadmap changes, and industry trends.

Product Ownership & Delivery

Own, manage, and prioritize the Enterprise Data product backlog.

Define clear user stories, acceptance criteria, business requirements, and functional specifications.

Lead backlog refinement and participate in Agile ceremonies, including sprint planning, reviews, and retrospectives.

Partner with Engineering and QA teams throughout the product development lifecycle to support release planning, testing, and validation.

Make informed trade-off decisions balancing business value, technical feasibility, delivery timelines, and risk.

Monitor product performance and identify opportunities for improvement after release.

Stakeholder Management

Partner with Product Managers, Product Owners, Engineers, Architects, Operations teams, and Business stakeholders.

Communicate requirements, findings, recommendations, risks, and dependencies .