Product Owner - II Enterprise Data
MCO (MyComplianceOffice)
- Location
- Hyderabad, Telangana, India
- Job type
- Full-time
Required skills
- acceptance criteria
- Agile
- BDD
- business analysis
- business objectives
- capital markets
- cross-functional
- data modeling
- data models
- data solutions
- data strategy
- data structures
- DevOps
- product delivery
- product lifecycle
- Root Cause Analysis
- SQL
- user stories
About the role
MCO (MyComplianceOffice)
Website:
mycomplianceoffice.com
Job details:
Job Description
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 effectively.
- Build strong working relationships across cross-functional teams.
- Support discovery, roadmap planning, and prioritization activities.
- Facilitate discussions to ensure alignment between business requirements and solution design.
- Continuous Improvement
- Identify opportunities to improve product processes, data quality, and operational efficiency.
- Contribute ideas for enhancing Enterprise Data capabilities and services.
- Stay informed on industry trends, data management practices, and emerging technologies.
- Promote a culture of continuous learning and improvement.
Job Requirements
Qualifications & Experience
- Required Qualifications
- Bachelor's degree in Business, Information Systems, Computer Science, Finance, Data Management, or a related field.
- 8+ years of experience as a Product Owner, Business Analyst, Data Analyst, Data Product Analyst, or similar role.
- Experience working with enterprise data products, master data, reference data, or shared data services.
- Strong business analysis and requirements management skills.
- Experience working with complex datasets, data models, data mappings, data flows, and integration requirements.
- Experience within Compliance, RegTech, Financial Services, Capital Markets, Risk Management, or related industries.
- Experience working with external data providers such as S&P Global, FactSet, LSEG/Refinitiv, Bloomberg, Dun & Bradstreet, Moody's, or similar organizations.
- Strong analytical, problem-solving, communication, and stakeholder management skills.
- Strong knowledge of Agile product delivery methodologies.
- Experience with SQL, data analysis tools, data modeling concepts, and Agile product development environments.
- Experience working with CI/CD, DevOps, and Behavior-Driven Development (BDD) methodologies.
- Preferred: Familiarity with the AI product lifecycle, prompt engineering concepts, and ethical AI considerations.
Job Benefits
- Opportunity to work on global products used by leading financial institutions.
- Exposure to complex problem-solving across compliance, workflows, data, and automation.
- A collaborative culture that values innovation, ownership, and continuous learning.
- Competitive compensation and benefits aligned with the India market.
- Career growth with pathways into senior product leadership, domain specialization, or cross-functional roles.
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