Job Description

AT&T is one of the leading service providers in the telecommunication sector and propelling it into the data and AI driven era is powered by CDO (Chief Data Office). AT&T\'s Chief Data Office (CDO) is harnessing data and making AT&T\'s data assets and ground-breaking AI functionality accessible to employees across the firm. In addition, our talented employees are a significant component that contributes to AT&T\'s place as the U.S. company with the sixth most AI-related patents. CDO also maintains academic and tech partnerships to cultivate the next generation of experts in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, data privacy, and more. CDO is empowering AT&T, through execution, self-service, and as a data and AI center of excellence, to unlock transformative insights and actions that drive value for the company and its customers. Employees at CDO imagine, innovate, and unlock data & AI driven insights and actions that create value for our customers and the enterprise. Part of the work, we govern data collection and use, mitigate for potential bias in machine learning models, and encourage an enterprise culture of responsible AI. This is a Leadership role, the ideal candidate should have experience in technology, people management and financial acumen. Candidate should have proven experience of working in product development environment with a proven experience of developing enterprise scale products in a highly agile/scrum environment. Supervises a team of data insight employees that are responsible for the development and/or delivery of IT-related work relative to Application Development, Data - Engineering/Science/Warehousing/Visualization/ Analytics. Exposure to requirement gathering, technology Solutions design, Business Management, Vendor Management, Systems Engineering, Software Delivery Project Management and Release Management. Oversee daily operations in collaboration with other managers and department leaders, and perform administrative tasks such as tracking schedules, generating correspondence, maintaining reports, planning, and coordinating meeting. Roles and Responsibilities: Drive the team on innovation & implementation, creating & reviewing architectural designs, mentoring the team, and honing its engineering skills. Guide team in creating technical specifications, prototypes, and presentations to communicate your ideas. Well-versed in emerging industry technologies & trends. The incumbent interviews and selects employees, maintains proper staffing levels, allocates resources, supervises teams daily operations, productivity, identifies areas for improvement, develops action plans to improve performance, develops teams technical and managerial expertise through on-the-job and formal training opportunities, enforces Company policies, takes necessary disciplinary action, evaluates individual performance for annual performance review, merit increases, promotions and other employment status changes, and conducts long-range planning for the team. Guide team in implementing the industry standard best practices. Create and maintain a technology driven, competitive work environment. Guide team in creating technical specifications, prototypes, and presentations to communicate your ideas. Applying knowledge of common, relevant architecture frameworks in defining and evaluating application architecture Responsible for People Management activities like - Skill management, advancement, promotion, and other status changes for employees under their supervision. Identify and manage Risks Coordinate the execution of strategic initiatives Participate in regular meetings with various stake holders, develops action plans to improve performance. Enforces Company policies, set the team culture and ensure the motivated work environment defining business and/or technical requirements, defining the projects scope and work schedules, estimating necessary resources, allocating capital and expense funding, and reconciling the actual expenses to estimates to keep the project within budget. . Key Competencies and Skills: Required / Desired Skills . Proven track record of managing fullstack / Data engineering teams. . Data Warehousing/Data Lake/ Data science (Required 3 Years) . Java/Python fullstack development (Required 3 years) . Tech Leadership/ People Management (Required 6 Years) . Excellent communication skills . Good power point and excel skills. . Ability to multitask and keep deadlines. . Impeccable managerial and interpersonal skills . Proven track record of effectively interacting with senior management. . Ability to work strategically and collaboratively across departments. . Effective, versatile, and action-oriented . Education and Qualifications: Education: University Degree in Computer Science and/or Analytics Minimum Experience required: . Minimum of 5-7-year experience in data insight/Science . Minimum of 3 years\' experience in managing a team of at least 10. . Must have experience with technical and People management responsibilities.

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