Data Protection

Level: Manager

Work location: Bangalore /Hyderabad

Years of Experience: 9 -12 years (with 3+ years in data protection leadership roles)

Job Description:

- A career in Data Risk & Privacy will provide you with the opportunity to help organizations build trust by protecting data, managing privacy, and enabling responsible adoption of emerging technologies such as Artificial Intelligence.

- You will work with clients to design, implement, and operate data protection, privacy programs that align with business objectives, and regulatory expectations.

- Our team helps organizations safeguard critical assets by identifying, prioritizing, and protecting sensitive or high value business assets. In joining, you'll focus on ensuring the effective and efficient use of information in enabling an organization to achieve its goals.

- To really stand out and make us fit for the future in a constantly changing world, each one of us at needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this, we have the Professional, our global leadership development framework.

- It gives us a single set of expectations across our lines, geographies, and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

- As a manager, you will be responsible for leading the organization's end-to-end data protection capabilities across the full data lifecycle.

- This role owns strategy, architecture, tooling, and operations for protecting sensitive data, while also managing and developing a team of data protection professionals.

- This role requires strong technical depth across modern data protection platforms and the ability to translate data risk into scalable controls and processes.

Professional skills and responsibilities for this management level include but are not limited to:

- Use feedback and reflection to develop self-awareness, personal strengths, and address development areas.

- Delegate to others to provide stretch opportunities, coaching them to deliver results.

- Demonstrate critical thinking and the ability to bring order to unstructured problems.

- Use a broad range of tools and techniques to extract insights from current industry or sector trends.

- Review your work and that of others for quality, accuracy, and relevance.

- Know how and when to use tools available for a given situation and can explain the reasons for this choice.

- Seek and embrace opportunities which give exposure to different situations, environments, and perspectives.

- Uphold the firm's code of ethics and business conduct.

- Excellent communication skills and executive presence that enable effective engagement with senior stakeholders

- Excellent written skills, ability to interpret a privacy/security scenario & document a summary

- Demonstrate proven extensive abilities with leveraging creative thinking and problem-solving skills, individual initiative, and utilizing Office 365, MS Office (Word, Excel, Access, PowerPoint).

- Develop/Implement automation solutions and capabilities that are clearly aligned to client business, technology and threat posture

Key Responsibilities:

- Own and drive the organization's data protection strategy across data at rest, in motion, and in use

- Define and govern data protection capabilities across: Data discovery and visibility, Data classification and labeling, Data access governance and exposure management, Data loss prevention and policy enforcement, Insider risk and misuse detection, Cloud and SaaS data protection (DSPM)

- Design and oversee end-to-end data protection architectures across on-prem, hybrid, and cloud environments

Lead implementation and integration of data protection platforms such as:

- Microsoft Purview (Information Protection, DLP, Insider Risk, Records Management)

- Varonis (data discovery, permissions analysis, insider risk, automation)

- Cyera or other DSPM platforms (cloud data discovery, risk posture, exposure analysis)

- Ensure consistent policy models across email, collaboration tools, endpoints, cloud storage, databases, and SaaS applications

- Experience applying AI/ML or generative AI to enhance data protection capabilities, such as intelligent data classification, risk prioritization, anomaly detection, or insider risk analysis

- Experience designing or leveraging AI-assisted workflows for data protection operations, including alert triage, investigation support, policy tuning, and automation of repetitive tasks

- Establish and manage operational processes for data protection monitoring, alert triage, investigation, and response

- Ability to communicate data risk and protection posture to technical and non-technical stakeholders

- Define escalation paths and coordinate with SOC, IR, Legal, HR, and Compliance teams

- Lead, mentor, and develop a team of data protection analysts and engineers

- Set clear goals, priorities, and performance expectations for the team

- Support hiring, onboarding, and ongoing skills development across data protection domains

- Strong experience across multiple data protection domains, including data discovery, classification, access governance, DLP, insider risk, and cloud data protection