Sr. Manager/AI & Data Analytics

Job Purpose and Role:

Responsible for creating, structuring data warehouse, analysis and automation to Enable CVM and Analytics engagements with e& OPCOs as well as External Clients. Serve as an advocate for data-driven culture to build an effective reporting/data/automation ecosystem that forms the backbone of the analytical models build to solve business problems for different clients.

Strategic & Operational Responsibilities:

• Interface and communicate with the data management and data science teams, internal and external stakeholders
• Research and evaluate data to make recommendations to management about ways to improve data storage, reporting and other business issues
• Design, build and support the components of data warehouse platforms for internal and external clients
• Establish systems to support development and maintenance of CVM and ML Models, business solutions, analysis and standardized products enabling robust implementation
• Developing and maintaining internal databases, and orchestration of data systems to improve the scalability, stability, accuracy, and efficiency of the existing and new data systems
• Server as a subject matter expert for data quality, metadata management and for Enterprise data management standards and policies
• Sharing best practices and new data management solution/ideas with external clients & OPCOs
• Ability to lead team of data analysts and manage multiple engagements in a complex environment
• Significant experience handling data requirements in a telecom environment

Data Governance Responsibilities:

• Contribute to the effective data governance of internal and external data, including data quality, data management, data policies, business process management, and risk management surrounding the handling of data for internal and external clients

Technical Responsibilities:

• Requires extensive knowledge of Analytics/big data analytics/ETL tools & automation techniques and methods
• Demonstrates understanding of capabilities available in data management tools (e.g. SQL, Teradata, Postgre, big data platforms/Hadoop or equivalent), Data Management: Alteryx, Advanced Excel, SQL, Data-warehouse/Database: Teradata/DB2/Oracle/MySQL/MS Access, Data Mining and Modeling tools/languages: Python, R, SAS (Base SAS + E-Miner), BI and Visual Analytics: Tableau/Qlikview/Cognos /SAS Enterprise BI, Digital Analytics (Google Analytics)
• Experience working with extensive data sources, data lakes and designing ETL Frameworks
• Manage day to day intake of BI requests, including stakeholder engagement, requirements gathering, prioritization, and execution
• Build and maintain data ETL pipelines that read from heterogeneous data sources
• Monitor operations on internal data warehouse in order to identify and resolve issues
• Generate dynamic dashboards and reports using dashboarding tools
• Hands-on experience in cloud platforms like AWS, Google Cloud Platform (GCP), Azure

Job Requirements:

• Masters + bachelor's in engineering with 10 years of experience.