Head the Production Support division , ensuring uninterrupted operations of critical banking systems including Oracle FLEXCUBE , OFSAA , Oracle Financials , and regulatory platforms . Lead and manage a team of 30+ professionals , across L1 to L3 support tiers, overseeing incident management, root cause analysis, and service improvement initiatives. Ensure high system availability and strict adherence to SLAs in coordination with business, compliance, and infrastructure teams. Manage cross-departmental support including Corporate Banking, Finance, Risk, and Compliance. Handle incident escalations , prioritize issues based on business impact, and oversee timely resolution. Coordinate release and change management activities to minimize disruption to business operations. Regularly engage with business heads to align system capabilities with operational requirements. Define and enforce robust monitoring, alerting, and reporting frameworks for production systems. Champion automation and optimization initiatives to reduce manual dependencies and improve turnaround times. Corporate Banking: Managed and supported applications for Corporate Lending , Trade Finance (LC, BC, Bank Guarantees). Finance Department: Supported Oracle Financials (GL, AP, AR) including GL consolidation and monthly GST filings . Compliance Systems: Oversaw OFSAA AML/KYC , enabling AML alert generation and KYC scoring with reverse feeds to CBS. Risk Systems: Seamless operation for LOS,LMS,MF and oracle Regulatory Reporting: Managed ADF for centralized regulatory report generation and NACH for mandate registration and processing. Key Skills and Technical Expertise: Platforms: Oracle FLEXCUBE, OFSAA (AML/KYC, BASEL, ALM, LRM), Oracle Financials (GL/AP/AR), ADF, NACH Databases: Oracle 10g/9i/8i Tools: PL/SQL Developer, SQL Navigator, Toad, OBIEE Operating Systems: Windows, HP-UX, IBM AIX Methodologies: Agile, Waterfall, ITIL (preferred) Preferred Qualifications: Bachelor’s Degree in Engineering (Electronics/Computer Science preferred) Scrum Master Certification or equivalent Agile training Strong understanding of regulatory frameworks and compliance obligations in banking Leadership & Soft Skills: Proven ability to lead large, diverse teams (30+ members) Exceptional communication and stakeholder management Strong problem-solving and critical thinking skills High accountability, operational discipline, and performance focus Comfortable working in high-pressure, production environments Show more Show less

Job Purpose This role is responsible for leading the Business Intelligence (BI) team in delivering data-driven insights to drive business growth and improvement. Also, will be responsible for developing and implementing BI strategies, leading a team of BI professionals, and collaborating with stakeholders to identify and address business needs. Key Responsibilities Functional Responsibilities Develop and execute a comprehensive BI strategy to meet business needs, including data warehousing, reporting, and analytics. Collaborate with business stakeholders to identify and address business needs, and to develop and implement BI solutions. Develop and maintain reports and dashboards to provide insights to business stakeholders. Analyze and interpret data to identify trends, patterns, and insights, and to inform business decisions. Stay up to date with industry trends and emerging technologies and apply this knowledge to improve the BI function. Manage budgets and resources for the BI team and ensure that projects are delivered on time and within budget. Job Requirements Qualifications Master’s degree in Business Administration, Computer Science, or related field. Experience Minimum of 15+ years of experience in Business Intelligence, with at least 3 years of experience in a leadership role. Functional Competencies Strong technical skills in BI tools, such as Tableau, Power BI, or QlikView. Certification in Business Intelligence or data analytics, such as Certified Data Analyst (CDA) or Certified Business Intelligence Analyst (CBIA), is desirable. Experience with cloud-based BI tools, such as Amazon QuickSight or Google Data Studio, is desirable. Behavioral Competencies Experience with machine learning and artificial intelligence, and the ability to apply these technologies to improve the BI function, is desirable. Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify insights. Excellent communication and collaboration skills, with the ability to work with stakeholders at all levels of the organization. Show more Show less