Data Warehouse Manager

We believe that work is not just an office you report to every morning. It is rather the right place for discoveries as well as innovations and a venue for development of professional skills. Employees in Panda always work to reach new heights in performance through enthusiasm, punctuality and adaptability. If you believe you can be the one with this skillset, join us today to start your first step towards a quite successful career path.

Job Purpose

The role of the Data Warehouse Manager is to expand the company’s use of data as a strategic enabler of corporate goals and objectives. Acting as an Enterprise Data Architect, The Data Warehouse Manager will achieve this by strategically designing, developing, and implementing data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, logical, business area, and application. This individual will act as the primary advocate of data modeling methodologies and data processing best practices.

Job Responsibilities

Strategy & Planning

• Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders.
• Create short-term tactical solutions to achieve long-term objectives and an overall data management roadmap.
• Establish processes for governing the identification, collection, and use of corporate metadata; take steps to assure metadata accuracy and validity.
• Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
• Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
• Create strategies and plans for data security, backup, disaster recovery, business continuity, and archiving.
• Ensure that data strategies and architectures are in regulatory compliance.

Acquisition & Deployment

• Ensure the success of enterprise-level application rollouts (e.g. EBS, Oracle RMS,etc.)
• Liaise with vendors and service providers to select the products or services that best meet company goals.

Operational Management

• Act as a leader and advocate of data management, including coaching, training, and career development to staff.
• Manage a team of DW developers and act as Subject Matter Expert on data management and data architecture
• Assess and determine governance, stewardship, and frameworks for managing data across the organization.
• Develop and promote data management methodologies and standards.
• Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
• Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
• Collaborate with project managers and business unit leaders for all projects involving enterprise data.
• Address data-related problems in regards to systems integration, compatibility, and multiple-platform integration.
• Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.
• Document the data architecture and environment in order to maintain a current and accurate view of the larger data picture.
• Identify and develop opportunities for data reuse, migration, or retirement.

Education

BSC in Computer Science, Engineering Degree, or very relevant field, Master Degree is a plus.

Experience, Skills & Competencies

• 12 years + work experience as a data or information architect.
• Exposure to the retail Industry is a Great advantage
• Experience in managing Data Management Domain and a DW Team
• Exposure to Oracle RMS is a good advantage.
• Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
• Direct experience in implementing enterprise data management processes, procedures, and decision support.
• Ability to deal with executives and operations teams
• Strong understanding of relational data structures, theories, principles, and practices.
• Strong familiarity with metadata management and associated processes.
• Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
• Demonstrated expertise with repository creation and information system life cycle methodologies.
• Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on.
• Ability to manage data and metadata migration.
• Experience with database platforms, including SQL, Oracle, Snowflake.
• Extensive knowledge of data manipulation languages (Microsoft SSIS) and ETL/ELT (Talend, Alteryx,…).
• Understanding of Web services (SOAP, XML, UDDI, WSDL).
• Object oriented programming experience (e.g. using Java, J2EE, EJB, .NET, WebSphere, etc.).
• Excellent client/user interaction skills to determine requirements.
• In-depth technical knowledge of network, PC, and platform operating systems, including […].
• Working technical knowledge of current systems software, protocols, and standards.
• Experience with data processing flowcharting techniques.
• Proven project management experience.
• Good knowledge of applicable data privacy practices and laws.