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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). 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.

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.

This is a managerial role, the ideal candidate should have exposure in technology, people management and financial understanding with exceptional qualities in one or more of these areas.

Candidate should have exposure 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:

• Ability to manage innovative technology, creating & reviewing architectural designs, mentoring the team, and honing its data science skills.

• Guide team in creating technical specifications, prototypes, and presentations to communicate your ideas.

• Lead the team to translate complex data science tasks into easily consumable outputs to guide data driven decisions

• Develop project plans and roadmaps to tackle key questions and provide direction and guidance based on data, enabling the organization to meet strategic goals

• 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.

Qualifications – Required / Desired Skills

• Team Lead / People Manager

• Excellent communication and presentation 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

• Minimum of 10-15-year experience in Data Science

• Minimum of 3 years’ experience in managing a team of at least 10.

• Must have experience with technical and People management responsibilities.

• Extensive experience in designing applications to work with data and process data at scale.

• Flexible to work in shift model.

• Strong Pyspark / Python skills and experience working in MongoDb, Snowflake

• Desired to have working knowledge of Cloud Migration projects.

• Familiarity with Gen AI, LLM Workflow, Graph RAG etc.

Weekly Hours:

40

Time Type:

Regular

Location:

Bangalore, Karnataka, India

It 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.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws

We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status