Job Description
Data Management Consultant
Important Information
Location: Makati City
Experience: at 10 years relative experience
Work Mode: Hybrid set up | 2x onsite per week
Job Summary
The Data Management Consultant will play a key role in supporting enterprise-wide data management, analytics, and transformation initiatives across the organization. The role partners closely with business, technology, analytics, architecture, and governance teams to strengthen enterprise data capabilities, improve reporting and analytics practices, and enable data-driven decision-making.
This position requires a balance of strategic thinking and hands-on execution. The Consultant will contribute to initiatives related to data maturity assessments, data quality improvement, governance enablement, analytics and reporting enhancement, architecture alignment, and enterprise data transformation programs.
The ideal candidate is comfortable working across both business and technical environments and is capable of translating business requirements into scalable, practical, and sustainable data and analytics solutions
Responsibilities and Duties
- Support enterprise data management and analytics initiatives across governance, architecture, reporting, analytics, integration, and transformation workstreams.
- Conduct and support Data Maturity Assessments across key capability areas including data governance, data quality, architecture, analytics, operating model, and data lifecycle management
- Perform and support Data Quality Assessment activities including data profiling, validation, reconciliation, root cause analysis, issue management, and remediation planning
- Collaborate with business and technical stakeholders to identify data gaps, reporting inconsistencies, integration issues, and process improvement opportunities.
- Support the development and implementation of enterprise data standards, governance policies, operating models, and best practices.
- Assist in defining and maintaining critical data elements (CDEs), data ownership structures, metadata, business glossaries, data lineage, and reporting definitions.
- Support analytics and reporting initiatives by helping ensure data accuracy, consistency, scalability, and trustworthiness across enterprise reporting platforms.
- Work closely with architects, engineers, analysts, and project teams in evaluating and supporting data and analytics solutions
- Support enterprise transformation and modernization initiatives involving cloud-based data platforms, data warehouses, analytics ecosystems, and data integration solutions.
- Prepare assessment outputs, dashboards, reports, presentations, and executive-level materials related to enterprise data and analytics initiatives.
- Facilitate workshops, stakeholder discussions, working sessions, and requirements gathering activities across business and technical teams.
- Support roadmap development, prioritization, and implementation planning for enterprise data and analytics initiative
Qualifications:
Minimum of 10 years of experience in Data Management, Data Governance, Data Quality, Data Analytics, Data Architecture, or related disciplines.Minimum of 10 years of experience in Data Management, Data Governance, Data Quality, Data Analytics, Data Architecture, or related disciplines.
- Data Governance
- Data Quality Management
- Enterprise Data Management
- Data Architecture Concepts
- Analytics and Reporting
- Data Integration and Data Flow Concepts
Strong understanding of:
- Enterprise Transformation and Modernization Initiatives
About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
