Manager-Data/AI Engineering
IND:AP:Hyderabad / Atria Building, Plot 17 - Adm: Atria Building, Plot No 17
AT&T
Shop deals on new phones including iPhone 16, unlimited data plans, and home internet with AT&T Fiber. Get 24/7 support, pay your bills & manage your account online.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.
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
• Data Warehousing/Data Lake/ Data science
• Tech Leadership/ People Management
• 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
Weekly Hours:
40Time Type:
RegularLocation:
Hyderabad, Andhra Pradesh, IndiaIt is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Data quality Data visualization Data Warehousing Engineering Excel Machine Learning ML models Privacy Responsible AI Scrum Statistics
Perks/benefits: Career development
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