Job Description
We are seeking an experienced senior Technology Leaderto design, build, and manage data and analytics solutions for the bankingdomain. This role spans data architecture, analytics application development,and AI/ML application integration - ensuring scalable, secure, andregulatory-compliant platforms that deliver business value. The ideal candidatecombines deep technical expertise in data engineering and analytics platformswith the ability to lead teams and partner with business stakeholders.
Key Responsibilities - Architecture& Strategy
- Contribute to enterprise data architecture strategy and regulatory needs.
- Architect end-to-end data platforms supporting traditional BI, advanced analytics, AI/ML, and real-time insights.
- Define data analytics solution adapting concepts like Lakehouse, Data Mesh, Data Fabric while adopting cloud-native data & AI services and modern integration patterns.
- Work on banking-grade platforms including Opensource technologies, Teradata, Cloudera, SAS Viya, Adobe, IBM DataPack, Microsoft Power BI and other enterprise data analytics tools.
Key Responsibilities - SolutionDesign & Delivery
- Build and maintain enterprise data platforms leveraging open-source technologies ranging data integration, data base, visualisation, modelling, apis/micro services.
- Lead design and delivery of analytical applications leveraging enterprise Data Analytics platforms (dashboards, predictive models, reporting suites, self-service and operational analytics).
- Build and operationalize Data products, AI/ML solutions for banking use cases such as next best offer, fraud detection, customer segmentation, credit scoring, and risk modelling etc.
- Architect and develop data pipelines, APIs, and data serving layers for production-grade analytics.
- Deploy best practices in Data Ops, ML Ops and integration with regulatory-compliant systems.
- Define enterprise design principles, security and control standards.
Key Responsibilities - Team &Leadership
- Plan technical deliverables (including any system enhancements and upgrades) to meet project's requirements within allocated budget and schedule.
- Plan & collaborate across different application teams to manage technical dependencies of the solution.
- Provide status update related to technical delivery to Project Manager (PM)
- Partner with System Analysts and Business Solution Specialist to collate, understand and finalize functional and technical requirements.
- Partner with test Manager for delivery through SIT, UAT , performance / load testing and application security testing with quality results.
- Manage technical implementation plan across application teams - coordinate technical implementation activities across application teams to ensure non-event production cutover and adequate post implementation support.
- Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions.
- Lead and mentor cross-functional teams of data engineers, BI developers, data scientists, and ML engineers.
- Establish engineering standards, DevOps/MLOps pipelines, and governance for data analytics applications.
- Collaborate closely with business leaders, ensuring technical solutions meet business goals and compliance standards.
Required Skills &Experience
Proven experience in architecting and delivering enterprise-scale data &analytics platforms for banking.
Areas of interest are:
- Data Platforms: Teradata, Hadoop/Cloudera, Snowflake, Databricks, Azure, Google, Huawei , Alicloud.
- BI & Analytics Platforms: SAS Viya, Teradata, Adobe, Cloudera, Microsoft Power BI / Azure Analytics, Qlik.
- AI/ML, Analytics: Spark Scala, Python, R, Java, TensorFlow, PyTorch, Data Ops tooling, MLflow, Kubernetes.
- Streaming & Integration: Kafka, Spark Streaming, Informatica, Talend.
- Databases, Data federation: SQL, NoSQL DBs, Denodo, Snowflake.
- Cloud & DevOps: Kubernetes, Airflow, GitOps, CI/CD tools.
- Knowledge of statistical modeling, predictive analytics, NLP, and AI-driven decision systems.
- Platforms such as FICO, Experian, SAS for credit and portfolio management
- Financial services data models & data modelling tools and data governance processes.
- Hadoop languages & tools - Spark, Python, R, Pig, Hue, Impala, Hive, Hbase, Informatica IDL
- Platforms such as Kubernetes or OpenShift for deploying container-based workload.
- Experience with AI in banking regulatory contexts (model governance, explainability, audit readiness).
- Exposure to data mesh, federated governance, and advanced BI/AI architectures.
- 10+ years in data/analytics technology, with 5+ years in an architectural or leadership role.
- Demonstrated ability to lead multi-disciplinary teams (engineering, BI, data science).
- Strong grasp of banking operations, risk, compliance, fraud, and customer analytics.
- Excellent communication skills to influence C-level executives and business stakeholders.
JOB REQUIREMENTS
- Bachelor's degree/University degree in Computer Science, Engineering, or equivalent experience.
- Certifications: TOGAF, DAMA/DMBOK, CDMP, SAS Certified AI/ML Specialist, Microsoft Data & AI, or equivalent.
- More than 15 years track record in developing and delivering global/regional IT capabilities for a multi-national/regional company with annual budgetary responsibility.
- More than 5 years leadership experience in managing IT delivery teams
- Experience in implementing large-scale project implementation
- Proven result-oriented person with a focus on delivery.
- Experience in actual systems development work, with prior coding, functional specifications and technical specifications and systems development and testing experience (in aggregate no less than 8 years).
- Good understanding and experience in software development cycle
- Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders.
- Good problem solving, analytical, synthesis, system thinking and solutioning skills.
- Functional knowledge of Retail bank, Wholesale, Global Markets, Finance, Risk and Compliance oriented products & business processes.
