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.