Lead Cybersecurity - Identity Analytics Engineer

Job Description:

1. Base Skills Required

• Strong foundational understanding of Identity and Access Management (IAM) principles — including authentication, authorization, least privilege, and separation of duties.
• Deep knowledge of identity relationships across users, service accounts, applications, and entitlements.
• Ability to interpret and model identity lifecycle data from multiple systems (e.g., AD, Azure AD, HRIS, PAM, and CIAM).
• Experience building and maintaining identity data pipelines and normalization processes.
• Competence in SQL, Python, or PowerShell for data querying and automation of identity data extraction and transformation.
• Understanding of compliance frameworks such as SOX, PCI-DSS, HIPAA, GDPR, FFIEC, and their connection to identity controls.
• Analytical mindset with capability to identify toxic combinations, orphaned accounts, segregation of duties (SoD) violations, and access outliers.
• Experience in identity data modeling (hierarchies, joiners/movers/leavers, role/entitlement relationships).

2. Product & Technical Skills Required

• Proficient in Radiant Logic Identity Data Management (IDDM) and Identity Analytics (IDA) — able to build data feeds, perform correlation, and develop identity insights across heterogeneous sources.
• Experience defining and calculating Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs) tied to IAM objectives such as certification completion, access review timeliness, and privilege recertification.
• Ability to visualize identity controls and risks through dashboards using platforms like Power BI, Tableau, Grafana, or Kibana.
• Familiarity with SIEM and UEBA( User Entity Behavior Analytics)  tools (e.g., Splunk, Exabeam, Microsoft Sentinel) to correlate identity anomalies with threat patterns.
• Strong knowledge of security control frameworks (e.g., NIST CSF, ISO 27001, CIS Controls, Zero Trust Maturity Model) and how to measure control adherence quantitatively.
• Experience designing and collecting metrics from diverse systems to prove compliance and operational efficiency.
• Experience integrating IAM analytics into GRC or IRM tools (e.g., Archer, ServiceNow GRC).
• Understanding of data governance, quality scoring, lineage tracking, and data stewardship practices.
• Familiarity with APIs, REST interfaces, and data connectors for aggregating identity data.

3. Soft Skills & Success Factors

• Excellent communicator able to explain identity hygiene, data quality, and risk reduction benefits to both technical and non-technical stakeholders.
• Skilled at influencing and persuading data owners to participate in data collection and quality improvement initiatives.
• Demonstrated ability to translate technical metrics into business-relevant insights — showing how identity analytics drives risk reduction and operational maturity.
• Creative thinker with strong data storytelling and visualization abilities to highlight key findings and trends.
• Collaborative mindset to work across IAM, Risk, Compliance, IT Ops, and Business teams.
• Strong problem-solving, critical thinking, and continuous improvement orientation.
• Self-driven, curious, and detail-oriented — with a passion for turning identity data into measurable business value.
• Industry certifications such as CISSP, CISM, CISA, Azure Security Engineer, or Identity Governance Specialist are desirable.

Preferred Experience

• 14+ years of experience in IAM, Security Analytics, or Data Engineering domains.
• Proven track record of building identity risk dashboards, control scorecards, or maturity models in large enterprises.
• Experience in Zero Trust architecture analytics or Identity Fabric initiatives is a plus.

Weekly Hours:

40

Time Type:

Regular

Location:

IND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City

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 is a fair chance employer and does not initiate a background check until an offer is made.