Bimlesh Singh

• Results-driven Product Owner(Manager)/ Data Solution Architect with knack for steering cross-functional teams to deliver high-quality digital products. Skilled in translating complex business requirements for "Global Logistic System" and "Issue Detection System" into actionable development plans, leading to increased user engagement and streamlined operations. Delivered numerous projects(GLV, IDS, PRISM, Wholesale, VIN Profitability ) on time, enhancing customer satisfaction and operational efficiency within JLR
• Driven professional with keen interest in product development and innovation. Demonstrates strong leadership and communication skills, coupled with solid understanding of agile methodologies. Capable of driving product success and enhancing customer satisfaction through strategic vision and collaboration.
• Skilled in implementing the Data Management & Governance framework that meets data objectives for the organization and Define the end-to-end Data solution and architecture for organization.
• Proficiency in building and maintaining the Information Management Framework, Data Architecture design, Data strategy, Data Landscape (As-Is and To-Be) and Data Flows, Requirements Gathering, Facilitate Design and Managed the delivery in Agile methodology.
• Creates and implements the Data Management & Governance framework that meets data objectives for the organization.
• Define the end-to-end Data solution and architecture for organization.
• Executes enterprise data management & governance strategies in line with the organization's strategic plan and objectives.
• Built and maintained Information Management Framework, Data Architecture design, Data strategy, Data Landscape (As-Is and To-Be) and Data Flows, Requirements Gathering, Facilitate Design and Managed the delivery in Agile methodology.
• Establishes and executes the Data Quality Governance Framework, which includes end-to-end process and data quality framework for assessing decisions that ensure the suitability of data for its intended purpose.
• Establishes the Data Quality Governance Council, its vision and direction. Assesses data repositories for compliance with data governance policies and standards. Works with all areas of the organization to ensure data quality and integrity.
• Develops and executes data quality strategies in line with the organization's strategic plan and goals.
• Works with executive leadership and establish data quality rules and definitions consistent with department and organizations strategies.
• Develops data quality metrics that identify gaps and ensure compliance with standards across the organization.
• Works with Analytics and IT partners to remediate identified gaps using both manual and automated solutions.
• Establishes processes to continuously monitor data quality. Ensures processes are in place to proactively detect, correct, and prevent invalid data values.
• Establishes, communicates, and implements departmental plans, objectives, and strategies.
• Manages direct reports, systems, and projects to achieve department/unit goals in accordance with Department and organization policies and practices.
• Provides leadership by exhibiting influence and expertise, thus affecting the results of the operating area.
• Creates an effective work environment by developing a common vision, setting clear objectives, expecting teamwork, recognizing outstanding performance, and maintaining open communications.
• Led an assessment of the Enterprise and Solution for Data Architecture practice and the development of a transformation plan for the purposes of increasing team effectiveness.
• Strong understanding of Enterprise and Solution Data Architecture, Data Governance and Information Management, Digital and Analytical ecosystem architectures that include functions such as Data Acquisition, Data Integration, Database Design, Data Profiling, Data Migration, Data Quality, Data Archival, Data Consumption.
• Build data governance capability and secure its deployment among business & IT and drive the Data Management organization. Monitor implementation of data policies and improvement of data quality Target activities. Set standards and make decisions, e.g., on common data structure for forecasts. Identify data quality issues, root causes, corrective actions, and encapsulate them in data policies
• Monitor data sources and identify new sources, e.g., discuss and align with IT on master data management.
• Assist in the development of an Information and governance framework to manage scope and justification for decisions and actions throughout the development lifecycle.
• Verify compliance of all architectures and solutions with IT Principles, enterprise & domain conceptual & logical architectures, application & technology standards
• Assists with defining performance benchmarks and prioritises solution performance improvements based on empirical tests
• Manage the list of potential standards and work with application development management to prioritize efforts. Work closely with project management and development teams to assist the planning and review of project schedules, project reviews and gap analysis. Works with Data Integration developers to develop Data Integration Workflows and load processes
• Created design standards, templates, and training materials for use in developing solution design skills across IT project teams.
• Worked for several leading organizations of UK & Australia under several domains. Including Banking and Finance, Utilities, Retailer, Manufacturing, Government and Media & Technology, with core experience as Data and Information Architect/ Data Management & Governance (DM&G), Data /Business Analyst, Data Migration/DWH, Master Data Management, Data Modelling, Data profiling/Cleansing, ETL Architect and Azure architect.
• Deft in implementing best practices in EDW like Integrating data quality and metadata in data integration process, designing database objects to support multi-temperature data warehousing, Audit and reconciliation process, etc.
• Experienced in architecting /operating solutions built using Azure, GCP, AWS offerings & Snowflake
• Adept to work on multiple projects and collaborate with business stakeholders and IT development team to convert business requirements into technical design documents.
• Excellent organizational, planning, and cross-functional project management, written and verbal communication, and problem-solving skills with a strong attention, to detail, personal initiative and ability to work independently in a dynamic fast-paced environment, with minimal supervision
• Develop staff through coaching, providing performance feedback, providing effective performance assessments, and establishing performance & development plans.

• As a Data/Information Governance Manager, responsible for Defining the Business requirements and Product solution design for Bank's Collateral Management Systems and Industry classification to support IRB/IFRS9 regulatory drivers. Design analytical solutions and Prepare business models, Data Landscape (As-Is and To-Be) and Data Flows, flowcharts, and diagrams, involved in proposing the architecting and implementing the projects at AIB IT landscape. Collaborated with stakeholder groups across the organization to ensure business and technology alignment. Proposed solutions meeting defined specifications and needs.
• Establishes the Data Quality Governance Council, its vision and direction. Oversee the creation of data governance policies and standards
• Data Governance capabilities (define, assist the existing team), alignment to Digital Data Platform capabilities, Detailed definition of Data Governance capabilities and tools - roadmap
• Establish data governance via a Chief Data Officer, Data Council & network of data owners. Invest in key technologies to address master data management and data quality. Complete the integration and API framework implementation journey and scale up. Further investment in teams to support core data platforms, streaming and API interface development
• Establishes and executes the Data Quality Governance Framework, which includes end-to-end process and data quality framework for assessing decisions that ensure the suitability of data for its intended purpose.
• Executes enterprise data governance strategies in line with the organization's strategic plan and objectives.
• Build and maintain Data Architecture design, Data strategy, Road Map and data related artefacts Data Dictionary/Glossary, aligned with IMF and Enterprise Strategy. Assisted in development of data architecture policies & procedures and best practices for data remediation and standardization. Maintained data flow documentation up to date.
• Responsible for Customer & Product Data modeling (CDL, LDM and PDM) using Erwin.
• Responsible for defining business & data requirements and producing solution design for the Bank's Industry Classification and Collateral Management systems to support IRB/IFRS9 regulatory.
• Led large on-site & offshore project teams in all phases of project planning, Estimation, blueprint workshops, realization and Data Integration/Migration, training, and cutover.
• Managed the delivery in Agile methodology with frequent show-and-tell sessions arranged with the operations team
• Requirements Gathering - Provide comprehensive and complete functional and non-functional requirements specifications leveraging your domain competency and industry knowledge.
• Facilitate Design – Facilitate design by connecting designers, ENT architects, developers and the business and ensuring each of their needs and standards are addressed.
• Data mapping of data sources to target data structures - to support integration, reporting and business requirements. Conduct root cause analysis on data issues and clearly communicate results.
• Delivery on Data & Data Quality Strategy - Look for the best solution to Support the Head of Data Quality in the establishment of a single, consistent, accurate reconciled source of data for MI, Analytics and Reporting; being recognized for excellence in data and analytics.
• Assist leadership with the ongoing development of policies and procedures for the purpose of consistent product delivery

Participate in internal and customer meetings assisting with the ongoing evolution of technology offerings.

• Responsible for Defining the Business requirements and Product & I2R solution design for MFI Stack ‘C' (Sales Force) Program.
• Design analytical solutions and Prepare business models, conduct workshop for Data Mapping from Stack'B to Stack'C' for Product and responsible for end-to-end solution for Product & I2R Data Migration.
• Build the collaborative shared view of the Business.
• Involved to build the Glossary Items, Systems, Datasets, Attributes, Interfaces, Relationships, People (for stakeholders), Bulk upload of glossary items using Axon.
• Creation and ownership of to be Conceptual, Logical and Physical data Models using RSA/Erwin, adhering to Companies documentation standards and development based on business needs.
• Provide solution for preparation of SQL Data Warehouse using Informatica power center.
• Work with Business Analysts and business SME/users to assess opportunities.
• Prepare templates for deliverables and collects, prepares, builds reports and review expected outputs.
• Help development teams for database & ETL performance & optimization.
• Perform organization readiness for Data Lake Gen2 and help customers with POC and cost estimation.
• Used Azure BLOB to access required files and Azure Storage Queues to communicate between related processes.
• Designed and developed standalone data migration applications to retrieve and populate data from Azure Table / BLOB storage to on premise SQL Server instances.
• Attend ongoing client meetings to introduce and answer Azure PAAS and IAAS questions as they arise, covering important application migration considerations and options.
• Served as process owner under an Agile Scrum project implementation, leading session for sprint planning, sprint review and sprint retrospective meetings.

• Responsible for end-to-end data migration from SAP rainbow (SAP ECC) to SAP ISU at NGM National grid.
• Preparation of project plan, Data workshops planning, facilitating and requirement gathering and socialising activities for acceptance of project plan at client level, reporting to engagement manager and client presentations on weekly project progress at onsite.
• Provide presentations on the data migration implementation strategy.
• Prepare and share the Requirements Definition Document.
• GAP Analysis and Presentation on Data Quality issues and way forward plan.
• Working towards to set up the good team to achieve the deadline of this project.
• Implementation of Information Management Framework (IMF) within the business processes and services delivered by the Athena Programme and establishing the IMF within the business functions.
• Agreement of Information owners and stewards including roles and responsibilities.
• Creation and ownership of to be Conceptual, Logical and Physical data Models using RSA/Erwin, adhering to Companies documentation standards and development based on business needs.
• Defining and designing a common data model for all business objects such as customer, property, Asset, Product, Location.
• Developing enduring data process, procedures and models and ensure delivery of all other data related artefacts that are required.
• Working with other architects to ensure a consistent view across all layers of the architecture e.g., infrastructure, security, business systems and other services.
• Ensure necessary documentation is created and maintained in accordance with National Grid and business function standards.
• Provide consultative subject matter expertise, deliver business facing consultancy for appropriate outcomes.

• Responsible for end-to-end deliverable of Data Migration (both Master and Transactional data) in CRM.
• Architecture and design, using mix of multiple discrete sources, Staging Area and DM using a niche technology in ETL market.
• Involved in creating the Design Documents for the requirements and development of various kinds of database object like Table, view, Package, Store procedure, Functions etc and ETL mapping through ETL tools SAP BODS and Oracle DB.
• Effort estimation for different ETL flows, Involved in Test case preparation and Executing Test Cases and Coordinate Defect Resolution, CUT over planning.

• Responsible for end-to-end data migration from Legacy to SAP CRM at Trans field Services.
• Preparation of project plan, Data workshops planning, facilitating and requirement gathering and socialising activities for acceptance of project plan at client level, reporting to engagement manager and client presentations on weekly project progress at onsite.
• Provide presentations on the data migration implementation strategy. Prepare and share the Requirements Definition Document. GAP Analysis and Presentation on Data Quality issues and way forward plan.

• Responsible for end-to-end deliverable of Data Migration (both Master and Transactional data) from Harris Vision systems to channel management system IBMS.
• Architecture and design, using mix of multiple discrete sources, Staging Area and DM using a Informatica Power center and Oracle 10G.

• Leading a team of developers depending upon the size of Enhancement request/change request.
• Prepare Technical Specifications or give download to the Developer to prepare the Technical Doc.
• Give review comments and sign off on Technical Specs.

• Involved in creating the Design Documents for the requirements and development of various kinds of database object like Table, view, Package, Store procedure, Functions etc and ETL mapping through OWB.
• Effort estimation for different ETL flows, Involved in Test case preparation and execution.

• Involved in loading of data into Essbase revenue cube for both Actual and forecast revenue to correctly report.
• Involved in creating the Design Documents for the requirements, Development of various kinds of database object like Table, view, Package, Store procedure, Functions etc.
• Developed various Mappings, Transformations and Mapplets for migration of data using Informatica Designer.
• Validating the ETL Design and development through Unit Testing.

• Involved in Analysis & Detail Design Documents and testing requirements, Code development, unit testing and Code Migration.
• Development of Test cases and test scripts and execution.

• Involved in Analysis & Detail Design Documents and testing requirements, Code development, unit testing and Code Migration.
• Development of Test cases and test scripts and execution.