Senior Cyber Security: Remediation and Accelerated Delivery Program

AT&T · Argus Bldg 4f & 5f

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Role: Senior Cyber Security:  Remediation and Accelerated Delivery Program

About the Company:

At AT&T, we’re connecting the world through the latest tech, top-of-the-line communications and the best in entertainment. Our groundbreaking digital solutions provide intuitive and integrated experiences for millions of customers across online, retail and care channels. Join our mission to deliver compelling communication and entertainment experiences to customers around the world as we continue to evolve as a technology-powered, human-centered organization. As part of our team, you’ll transform the way we deliver a seamless customer experience with digital at the center of all you do. In our world, digital is much larger than just an eCommerce channel, we are transforming all channels to digitally perform as one team to create better customer experience.

About the Job:

The CSO (Chief Security Office) CSO Remediation & Accelerated Delivery (RAD) team is responsible for driving easy and effective solutions for Cyber Risk Reduction. The RAD team takes a multi-disciplinary and layered approach to risk reduction and remediation to support data security through focus on Cyber Security areas. This team is looking to add a Cyber Security Risk Remediation Lead to drive remediation and risk reduction. Key responsibilities of the role include:

• Driving cyber risk remediation across >15 technology areas

• Analyzing data based on risk

• Driving delivery teams to resolve risk through quantifiable actions and outcomes

• Managing difficult conversations to reduce risk across organizations.

• Shaping and investigating data to be actionable for remediation assignments

• Driving conversations to result in cyber compliance

Relevant Experience: 10+ years

Location: Hyderabad/ Bangalore

Required skills:

Cyber/Technology Risk

• Strong understanding of technology risk and vulnerability areas.

• Experience with vulnerability scanning technologies across multiple layers (application, database, device, API).

• Foundational knowledge of cloud security principles for both Azure and AWS.

• General information security proficiency (such as CISSP or Security First Bronze, Silver, and/or Gold certifications).

• Familiarity with the Software Development Life Cycle (SDLC).

Analytical and Problem-Solving Skills

• Demonstrated ability to track issues and drive outcomes to resolution.

• Strong analytical thinking and problem-solving skills.

• Capacity for systems thinking and understanding of complex IT environments.

• Experience in document management and maintaining organized records.

Communication and Interpersonal Skills

• Excellent communication skills, with the ability to clearly convey technical concepts to both technical and non-technical audiences.

• Proven capability to communicate effectively with leadership and stakeholders.

• Experience managing difficult conversations and resolving conflicts professionally.

Organizational and Management Skills

• Ability to manage multiple priorities and adapt to changing demands.

• Experience with change control processes and quality management.

• Strong document management skills.

Industry and Business Acumen

• Awareness of emerging technologies and IT industry trends and directions.

• Knowledge of finance and accounting principles, including financial forecasting and modeling.

• Understanding of IT governance, IT audit and control, and general IT environment concepts.

Understanding and Application of AI

• Familiarity with applying Artificial Intelligence (AI) or Machine Learning (ML) techniques in cybersecurity contexts

• Experience leveraging AI-enabled tools (such as Copilot for Security, Darktrace, CrowdStrike Charlotte AI, or custom LLM integrations) to enhance detection, response, automation workflows.

• Understanding of LLM safety, prompt engineering, or AI governance frameworks (e.g., NIST AI and RMF, EU AI Act readiness) is a plus.

•  Exposure to data science fundamentals relevant to security (pattern recognition, supervised vs. unsupervised learning, model validation).

• Awareness of AI-driven risks (e.g., adversarial ML, data poisoning, model hallucination) and their mitigation within enterprise environments.

Desirable skills:

• Prior experience with Telecom sector

• Prior exposure to Cyber Security teams

Additional information (if any): Need to be flexible to provide coverage in US morning hours.

Weekly Hours:

Time Type:

Location:

AT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.

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