Data Governance Manager

Bershaw Consultancy PH

Taguig

On-site

PHP 781,200 - 1,004,400

Full time

14 days+

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Job summary

A consultancy firm in Metro Manila is seeking a Data Governance Lead to define and implement comprehensive data governance policies. The ideal candidate should hold a Bachelor’s degree in Computer Science, with 3-5 years of experience in SQL and data analysis. Responsibilities include leading data governance initiatives, collaborating with stakeholders to improve data quality, and managing teams. This role demands strong analytical skills and familiarity with data management tools to ensure compliance and effectiveness of processes.

Qualifications

  • 3–5 years of experience in SQL and data analysis.
  • At least 3 years of experience in Master Data Management, Data Quality, or Data Integration.
  • 3 years of experience implementing enterprise-scale data warehouse or data management projects.

Responsibilities

  • Define and implement data governance policies for assigned business units.
  • Establish data security and compliance procedures.
  • Lead enterprise-wide data governance initiatives.

Skills

SQL and data analysis
Master Data Management
Data Quality
Data Integration
Data governance principles
Analytical skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Data cleansing tools
Master data management tools
Metadata management tools
Data quality tools

Job description

Job Qualifications
  • Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related field.
  • 3–5 years of experience in SQL and data analysis.
  • At least 3 years of experience in Master Data Management, Data Quality, or Data Integration.
  • 3 years of experience implementing or managing enterprise-scale data warehouse or data management projects.
  • 5 years of experience working with data management teams.
  • Strong understanding of data governance and data management principles and processes.
  • Experience with data tools such as data cleansing, master data management, metadata management, and data quality tools.
  • Strong analytical skills with meticulous attention to detail.
  • Ability to assess risks, dependencies, and business impacts related to data issues.
Data Governance & Process
  • Define and implement data governance policies covering the full data lifecycle for assigned business units.
  • Establish and enforce data security and data privacy compliance procedures in accordance with regulatory requirements.
  • Develop and maintain the data governance framework, including standards for data collection, storage, access, sharing, and usage.
  • Define, track, and manage Data Quality KPIs and consolidate metrics across the enterprise.
  • Implement controls and compliance metrics to proactively reduce data issues and improve data quality.
  • Conduct data profiling, define data lineage, and establish evaluation methods to assess data health and maturity.
  • Design governance processes and lead training initiatives to align data owners with data policies, standards, and guidelines.
Business & Stakeholder Collaboration
  • Report and elevate data quality issues and improvement opportunities to the Data Governance Council with clear recommendations.
  • Collaborate with reporting, analytics, and operational teams to identify data errors, root causes, and corrective actions.
  • Lead and prioritize enterprise-wide data governance initiatives to improve data quality, availability, and usability.
  • Plan, manage, monitor, and communicate data governance policies and KPIs to key stakeholders.
  • Align data governance initiatives with strategic business goals, scorecards, and core KPIs.
  • Define SLAs for data issue resolution based on business impact (customer, revenue, reporting, analytics).
Leadership & People Management
  • Lead and manage teams responsible for executing data governance and data quality initiatives.
  • Manage project risks, issues, and stakeholder expectations throughout initiative lifecycles.
  • Ensure benefits realization from implemented data governance improvements.

Mentor team members and provide coaching and training as needed.

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