Data C4E - Data Management Lead

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
** The Data Management Manager oversees the organization's data lifecycle, ensuring data integrity, security, and accessibility. They lead a team responsible for data governance, data quality, data architecture, and data compliance.  This role will entail the management of demand-capacity data for purposes of geospatial analysis, forecasting, and financial modelling as a guide to business planning and technical solutioning
*
* DUTIES AND RESPONSIBILITIES:

*** Manages the build-up, warehousing, organization, transformation, processing, quality, and governance of demand-capacity datasets
* Designs and produces scripts, workflows, and models needed for geospatial analytics, facility-based forecasting, build and selling decision-making
* Ensures proper versioning and archiving of databases arising from new information, quality checks, area-based updates, and demand-capacity data refreshes by applying data management disciplines and best practices
* Reconciles the demand data produced by multiple sources, projects, and initiatives to ensure a cohesive, de-duplicated, clean database
* Enforces governance over proper use, access, and interpretation of demand data and reports by internal customers
* Manages the integration and access to Enterprise Data and Customer Analytics data marts and platforms to enable the confluence of internal and external data for richer in sighting
* Develop and implement data management policies, procedures, and standards.
* Establish and maintain data governance frameworks, including data ownership, stewardship, and accountability.
* Manage data quality initiatives, including data cleansing, enrichment, and validation processes.
* Collaborate with IT teams to design and implement data architecture solutions that support business objectives.
* Ensure compliance with data privacy regulations, such as GDPR, CCPA, and HIPAA.
** HIRING REQUIREMENTS:
*** Minimum 5 years work experience in database management, data warehousing, ETL, data visualization, and data mining
* Work experience in a telco company is preferred; with working knowledge of telco fundamentals
* Graduate of Statistics, Computer Science, IT, or other related courses
* Expert knowledge in analytics, visualization, and mapping tools (Python, SAS, SQL, Tableau, R, Google Maps), experience using Alteryx is preferred
***
* Work Experience:

***** Bachelor's degree in computer science, information systems, or a related field
* 5+ years of experience in data management or related roles
* 2+ years of experience in a leadership or managerial position
**** Level of Knowledge:
***** Advanced knowledge of data management principles, practices, and technologies
* In-depth understanding of data governance, data quality, and data security concepts
* Familiarity with industry trends and emerging technologies in data management
***
* Certifications:

***** Certified Data Management Professional (CDMP)
* Certified Information Management Professional (CIMP)
* Certified Information Systems Security Professional (CISSP)
* Lead efforts to improve data accessibility and usability through data cataloging and metadata management.
* Oversee data security measures, including encryption, access controls, and data masking.
* Monitor and report on key data management metrics and KPIs.
* Provide leadership and guidance to a team of data management professionals.
* Collaborate with stakeholders to understand data requirements and align data management initiatives with business goals.
** KPIs:
*** Business OKRs
* Geospatial Analysis
* Performance Accuracy
* Data-Driven Recommendations
* Reports Value-Add
* Data Governance & Management
* New Capabilities
** TOP 3-5 DELIVERABLES:
*** Data handling, processing, and governance strategies
* Data Platform Management
* Demand-capacity dataset availability
* New capabilities for enabling or monitoring key performance indicators and business outcomes, e.g., customer experience quality, facility utilization, cost efficiencies,…