Key Responsibilities Act as the primary point of contact between the CEO and internal/external stakeholders. Manage calendars, meetings, travel arrangements, and communication on behalf of the CEO. Assist in reviewing and preparing reports, presentations, and key business documents. Support the CEO in business planning, budgeting, and financial analysis. Coordinate and follow up on key decisions, ensuring timely execution and reporting. Manage confidential information with discretion and professionalism. Partner with HR and Finance teams for people management and administrative tasks. Track key metrics, prepare MIS reports, and provide analytical insights for decision-making. Preferred candidate profile MBA / Postgraduate in Business Administration or equivalent. 3+ years of experience as an Executive Assistant , EA to CEO/Director , or in a Strategy / Business Analyst role. Strong communication and interpersonal skills with the ability to engage with C-Level leaders. Excellent organizational and multitasking abilities. Proficiency in MS Office (Excel, PowerPoint, Word) and business reporting tools. Good understanding of budgeting, financial analysis, and business operations. High degree of professionalism, discretion, and integrity.
Role & responsibilities Define enterprise-wide cybersecurity architecture aligned with business objectives and regulatory requirements. Design and Implement cybersecurity agents based on architectures for applications, infrastructure, cloud, and data platforms. Lead threat modeling, vulnerability assessments, and security risk reviews for systems and solutions Implement enforce security reference architectures, patterns, and guardrails Understand perimeter and app security and guide engineers on implementing the cybersecurity agents Collaborate with enterprise architects, DevOps, and cloud engineering teams to embed security by design Drive Zero Trust adoption across identity, network, data, and workload security Select and integrate security tools for monitoring, detection, incident response, and governance Establish a cybersecurity semantic layer by building a cyber knowledge graph and integrating endpoint threat detection, analysis, and protection capabilities Evaluate emerging technologies and recommend adoption strategies for security enhancement Provide guidance during digital transformation, cloud migration, and modernization initiatives Act as a trusted advisor to senior leadership on cybersecurity posture and strategy Preferred candidate profile Proven experience as a Cybersecurity Architect or senior security professional in large scale enterprises Strong knowledge of security frameworks (NIST, ISO 27001, MITRE ATT&CK, SABSA, TOGAF Security) Expertise in cloud security (AWS, Azure, GCP), IDAM /IAM, and application/data security Hands-on experience with SIEM, SOAR, endpoint security, and vulnerability management solutions Familiarity with regulatory and compliance standards (GDPR, PCI-DSS, HIPAA, SOC2, etc.) Excellent communication and stakeholder management skills Experience with AI-powered security, automated threat detection, and security analytics Knowledge of DevSecOps, container security (Kubernetes, Docker), and microservices security Background in incident response, digital forensics, and red/blue team exercises Ability to design resilient security architectures in hybrid and multi-cloud environments
Key Responsibilities Define enterprise-wide data and AI architecture strategies, reference models, and standards tailored to retail banking, lending, payments, risk management, and investment banking domains. Design and oversee deployment of data lakes, lakehouses, and warehouses that scale to support regulatory reporting, fraud detection, credit risk analysis, and real-time customer engagement. Build and optimize large-scale data pipelines using Hadoop ecosystem (HDFS, Hive, HBase, YARN, MapReduce) and PySpark for high-volume financial transaction data. Implement event-driven data integration across batch and streaming platforms (Kafka, Spark Streaming, Flink) to enable near real-time insights. Establish robust data governance frameworks for data lineage, cataloguing, and compliance with financial regulations (RBI, SEC, GDPR, CCPA, Basel III). Drive adoption of cloud-native data platforms (Azure Synapse, AWS Redshift, GCP BigQuery, Databricks, Snowflake) for scalable analytics and AI readiness. Architect semantic and feature store layers that accelerate AI/ML use cases such as credit scoring, anti-money laundering (AML), portfolio optimization, and personalized banking. Provide architectural oversight for large-scale data modernization and cloud migration initiatives. Mentor data engineering teams on Hadoop, PySpark, streaming, and cloud-native practices within BFSI environments. Collaborate with enterprise, application, and infrastructure architects to ensure alignment across systems and business functions. Preferred Candidates Proven experience as a Data Architect or senior data leader in banking or large-scale financial services organizations. Strong expertise in the Hadoop ecosystem (HDFS, Hive, HBase, Spark, YARN, MapReduce). Proficiency in PySpark for processing high-volume structured and unstructured financial data. Experience with cloud-native data platforms (AWS, Azure, GCP) and distributed data architectures. Deep knowledge of data governance, metadata management, and compliance frameworks. Strong understanding of relational, NoSQL, and columnar databases used in BFSI. Hands-on experience with Databricks, Snowflake, or Delta Lake for implementing financial-grade lakehouse solutions. Familiarity with event-driven data fabric architectures that enable responsive banking services. Exposure to AI/ML pipelines, feature engineering, and model deployment on big data platforms. Knowledge of semantic layer tools (dbt, AtScale) for unified banking analytics. Domain expertise in risk management, regulatory reporting, fraud detection, and AML. Experience with enterprise architecture frameworks such as TOGAF.