At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.

Job Description Accountable in defining internal standards – delivers on data policies – that apply to how data is gathered, stored, processed, used, retained, and disposed of (full data life cycle). Data policies should also govern who can have access to what kinds of data. Responsible for collaborative efforts with Internal Security and Data Privacy and ensures compliance.
He/She will also drive action within the enterprise to ensure that data is available, usable, consistent and secure, including data issue resolution, necessarily involved in systems and applications implementation, enhancement and migration.

DUTIES AND RESPONSIBILITIES:

The responsibilities of this position will include but will not be limited to the following:

1. Process

Establish proper data collection procedures, policies, guidelines including data quality controls, testing, cleansing, and standardization

Establish procedures for data security and privacy regulation compliance.  This includes defining how data is collected, stored, accessed, shared, and used within the organization (ie Data Governance framework).

Define, track and manage Data Quality KPIs across the enterprise. Implements controls and compliance metrics to reduce data issues and improve data quality 

Conduct data profiling and establish data lineages to provide internal customers with feedback and recommendations for improvements in data management

Designs processes and lead initiatives to improve efficiency and increase coverage of data quality to ensure wider use of relevant data by the entire organization.

Responsible in ensuring effective data management throughout the enterprise and detecting effects of poor data quality.

2. Business

Report and escalate to the Data Governance Council data quality issues and/or improvements with corresponding recommendations on how to address/resolve 

Collaborate with reporting and operational segments to ensure compliance to data governance policies

Ensure data requirements of the reporting and analytics teams are met and results are used by the business units

Bridging departmental silos to ensure that data is understood, interpreted and utilized uniformly across the organization

Align data governance with strategic business objectives by ensuring that DG policies aligns with the organizations’ goals and scorecard metrics (Core KPIs) and be able to prioritize critical measure including defining SLAs for issue resolutions depending on the significance of impacted stakeholders - customer, revenue, reporting and analytics.

Identify, prioritize and lead Enterprise-wide data cleansing initiatives to deliver substantial improvements in data quality across the enterprise

3. People

Manage and drive teams to run and deliver initiatives designed to resolve data quality issues

Manage stakeholder’s expectations on initiatives started and follow through on benefits realizations

Serve as subject matter expert for data quality assurance. Mentor team members and provide training as needed.

KPIs:

Compliance to DQ framework pillars

Quality data that is available and usable

Data Quality and Trustworthiness

Data Cost Efficiency

Data Security

TOP 3-5 DELIVERABLES:

Measurable DG Principles and Policies

Consistent Monitoring of Compliance 

Established Data Quality Framework 

Capability to provision quality data

Usable Data Dictionary and Lineages

Library of Procedures and Guidelines QA

Procedures Data Quality Dashboard

Issues Resolution Tracker

COMPETENCIES:

Support

Big Data Management

Big Data Architecture Governance

Project Management (GEN)

Data Science and Big Data Analytics Knowledge

Big Data Framework and Platforms Design

Customer Centric Data Solutions

Data Engineering

Data Storage and Operations

Data Storage Tools and Techniques

Strategy Analysis and Planning

Support/Core

Data Standards & Policies

Emerging

Data Strategy

Information Management Strategy

Systems Design*

Business Process Improvement

Data Visualization*

HIRING REQUIREMENTS:

Work Experience

8+ years of experience in working with data management teams

8+ years of solid QA/Testing/Development experience

5+ years of Advanced SQL experience

5+ years of Test Automation experience

5+ years of experience with implementing or managing enterprise-scale data warehouse, MDM, data integration or data management projects 

5+ years of experience managing people or leading project teams

Level of Knowledge

Strong Advanced SQL knowledge

Strong Scripting and Test Automation knowledge

Deep understanding of the architecture discipline, processes, concepts, and best practice

Strong understanding of tools (test automation, jira, git, jenkins) and data quality policies and procedures

Meticulous attention to detail with an overall passion for the discipline of Project Management

Understanding of BSS, OSS , IN, and network systems and data structure is a plus

Education

Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems or related degree

SKILLS:

Soft:

Stakeholder management 

Excellent communication skills

Collaborative 

Analytical and detail-oriented

Strong leadership skills

Managerial skills

Hard:

SQL

Scripting and Test Automation

Certification/License: 

Certification in relevant database and business intelligence technologies is a plus

Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.

Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here

Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.