• Defined and led the implementation of the data governance framework, comprising policies, standards, procedures, controls and risk measuring metrics to steer data management across data stores in the bank.• Oversaw data risk management by coordinating with data owners to ensure compliance with regulations, effective access management based on cataloguing and confidentiality classification of the data, adherence to retention schedules and implementation of data loss prevention measures.• Led execution of data quality strategy focussed on proactive detection of issues through business and technical data quality checks, risk-based issue prioritization and implementation of sustainable remediation.• Presided over data governance bodies to review data use cases, data control effectiveness, manage decisions and review emerging risks.• Partnered with product and technology teams to ensure adoption of privacy by design principles for applications, analytical and user tools and servicing of individual rights requests.

• Created data strategy for the digital bank lob facilitating the implementation of business strategy. Envisioned data capabilities and built maturity model based implementation road maps for them.• Designed and implemented the data governance framework rooted in ensuring data privacy, minimizing data risk and promoting adoption of data management best practices. Defined & reviewed implementation of processes, policies & standards.• Reviewed data use cases, assessed data risk in them and designed suitable controls to mitigate and monitor the risks.• Designed and led implementation of value driven data quality solution to identify, prioritize and resolve data issues affecting business decision making.• Conceptualized and developed NLP based data classification utility to enable faster data on boarding onto the data lake.• Designed and led the development of a semantic data model atop the data lake to enable an easy to understand journey based view of non relational data generated from event driven micro services based application architecture.• Established an access management framework to ensure proper handling of PII with provisions for implementation of individual rights mandated by GDPR including RTBF & DSAR.• Launched a data community of practice and data foundation training courses in order to empower business users to self -serve.

• Collaborate with business stakeholders to analyze business problems, break it down to smaller parts and identify technology requirements to build data driven solutions to enable business objectives.• Lead cloud migration initiatives involving data warehouse modernization and data lake implementation to enable efficient data management and insight generation etc.• Analyze complex, multi-dimensional data sets to identify trends, gaps and define use cases for analytics and machine learning based data driven decision making.• Design data architecture on cloud to enable multi modal ingestion, master data management, data quality improvement and self-service data consumption.• Define data governance strategy & operating model focusing on processes, policies, standards and metrics along with metadata management (business glossary, data dictionary, catalog).• Perform data profiling on data sets to identify data quality issues and define data quality management frameworks to cleanse data and monitor quality metrics.• Build enterprise architecture artifacts including data entity catalog, data-business function matrix, application-data matrix, application portfolio catalog, application interaction matrix, application business function matrix, architecture review checklists, data management principles etc.• Transform requirements into user stories with defined acceptance criteria. Prioritize and maintain the sprint backlog balancing trade-offs between requirement and engineering, coordinate communication and facilitate resolution of risks and issues.• Drive innovation by identifying opportunities for development of products, asset & accelerators; Define product vision, strategy, roadmap, and features.• Drive product functional design, UX design process and partner with engineering scrum teams to drive build and release successful versions of the product.• Gather feedback and monitor key performance metrics to identify optimization and improvement opportunities.

• Lead end-to-end planning and implementation of complex cross-functional projects including requirements definition, roadmap planning, resource planning and project execution.• Perform requirement gathering by collaborating with business users to understand challenges faced, help define use case and functional requirements of the solution based on each stakeholder’s point of view.• Convert requirements into user stories, prioritize user stories based on value potential vs implementation complexity, perform milestone planning and facilitate user acceptance testing.• Work closely with the development teams and play a leadership role in data modeling, ETL architecture design, performance tuning etc.• Identify, assess, track and mitigate risk and issues, maintain RAID logs and coordinate interdependencies across projects.• Lead project level retrospectives, post-mortems, and RCAs (Root Cause Analysis) to produce clear next steps and action items for delivery improvement.• Responsible for communicating project status, milestone tracking, process changes, escalations etc. risks to relevant stakeholders.