Encora
DataManagementConsultant
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Management Consultant at Encora. Skills: Data Management, Data Governance, Data Quality, Data Analytics. Support enterprise data management initiatives. Support analytics initiatives”
Industry & Context.
Root cause analysis; Issue management; Identify data gaps; Identify reporting inconsistencies; Identify integration issues; Identify process improvement opportunities
What They're Looking For.
Must Have
Minimum of 10 years of experience in Data Management, Minimum of 10 years of experience in Data Governance, Minimum of 10 years of experience in Data Quality, Minimum of 10 years of experience in Data Analytics, Minimum of 10 years of experience in Data Architecture
Nice to Have
Data Governance, Data Quality Management, Enterprise Data Management, Data Architecture Concepts, Analytics and Reporting, Data Integration and Data Flow Concepts, Enterprise Transformation and Modernization Initiatives
What You'll Do.
Support enterprise data management initiatives
Support analytics initiatives
Support transformation initiatives
Conduct Data Maturity Assessments
Perform Data Quality Assessment activities
Collaborate with stakeholders
Support development of data standards
Assist in defining data elements
Support analytics and reporting initiatives
Evaluate data and analytics solutions
Support modernization initiatives
Prepare assessment outputs
Support roadmap development
How You'll Work.
Team & Collaboration
Partners closely with business teams; Partners closely with technology teams; Partners closely with analytics teams; Partners closely with architecture teams; Partners closely with governance teams; Collaborate with business stakeholders; Collaborate with technical stakeholders; Work closely with architects; Work closely with engineers; Work closely with analysts; Work closely with project teams; Facilitate stakeholder discussions; Facilitate working sessions
Communication Scope
Prepare executive-level materials; Facilitate workshops; Facilitate stakeholder discussions; Facilitate working sessions; Facilitate requirements gathering
Process & Methodology
Roadmap development, Prioritization, Implementation planning
Full 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 (C
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