Key Responsibility
As Technical Delivery Manager (TDM) for Data Governance initiatives, you will be responsible for overseeing and ensuring the successful implementations. The role involves coordinating with cross-functional teams, understanding business requirements, and ensuring the alignment of technical solutions with data governance objectives. Key responsibilities for this role are:
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Project Leadership: Lead planning, execution, and delivery of Business Glossary, Metadata management and Data lineage solution, ensuring alignment with organizational goals and objectives.
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Requirements Analysis: Collaborate with business stakeholders to gather and analyse requirements, translating them into actionable project plans.
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Tool Selection and Implementation: Oversee selection and implementation of metadata management tool, ensuring it meet the organization's needs and integrate effectively with existing systems. Conduct POCs involving new data technologies. Prioritize implementation scope for incremental coverage; Independently install, customise and integrate software packages and programs. Maintain and recommend software improvements to ensure a platform centric management of software applications
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Lifecycle Management: Manage full lifecycle of metadata management and data lineage initiatives, from conception and design to implementation, maintenance, and optimization of end to end data lineage extraction; provide remediation for broken data lineage across multiple technologies, products and platforms. Review & deliver documents such as solution design, program specifications for target solutions
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Cross-Functional Collaboration: Work closely with cross-functional teams, including data stewards, IT professionals, and business analysts, infrastructure & information security teams, to ensure a cohesive and integrated approach to metadata management and data lineage; Create frameworks, technical features which helps in establishing end to end data lineage for Critical Data Elements
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Quality Assurance: Implement quality assurance processes to ensure the accuracy, consistency, performance & SLA monitoring and completeness of metadata and data lineage information in SIT, UAT and production environment
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Vendor Management: Coordinate with vendors providing metadata management solutions, overseeing their contributions to the successful implementation of the projects.
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Project Management & Risk Management: Plan, execute, and deliver metadata management and data lineage projects within scope, on time, and within budget. Identify and mitigate risks associated with metadata management and data lineage projects, ensuring compliance with industry standards and regulations.
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Training and Documentation: Provide inputs for training programs and ensure documentation to enhance understanding and adoption of metadata management and data lineage best practices within the organization.
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Performance Monitoring: Establish key performance indicators (KPIs) to monitor the performance of metadata management and data lineage initiatives, making adjustments as needed to meet objectives.
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Stakeholder Communication: Maintain transparent and effective communication with stakeholders, providing regular updates on project progress, challenges, and resolutions. Convey technical concepts to non-technical stakeholders in simple ways.
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Continuous Improvement: Drive continuous improvement initiatives, staying abreast of industry trends and emerging technologies to enhance Business Glossary, Metadata management and Data lineage capabilities within the organization.
Technical & Functional Skills
Technical Skills
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8+ years of experience in implementing data governance solutions with a strong background in deploying such solutions, encompassing both on-premise and cloud-based models.
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Metadata Management Tools: Proficiency in using metadata management tools such as Informatica IDMC, IBM Watson Knowledge Catalog or equivalent tools (Collibra, Alation, Solidatus)
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Data Lineage Tools: Experience with data lineage tools like Informatica IDMC, IBM Manta or similar solutions to establish and visualize end-to-end data flows. Identify and build both business and technical lineage, including strategies for fixing lineage breaks
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Database Technologies: In-depth knowledge of various database technologies, including but not limited to Hadoop, Teradata, SAS, Oracle, Postgres, and Cassandra DB.
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ETL/ELT Tools: Expertise in ETL/ELT tools like Informatica PowerCenter, SSIS, and other data integration platforms to understand and document transformation logic.
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Scripting and Programming: Proficient in scripting languages (e.g., Bteq scripts, Spart ETL) and programming languages to support metadata extraction and manipulation.
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Cloud Platforms: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their services relevant to metadata management and data governance. Strong background in addressing security considerations for cloud-based implementations is crucial, demonstrating the ability to design and implement secure solutions in alignment with industry standards.
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On-Premise Container Solutions: Expertise with Red Hat Open Container Platform; showcasing proficiency in overcoming complexities related to deploying, managing, and optimizing applications in this environment. Integrate various components seamlessly and ensure a cohesive and efficient operation within the OpenShift cluster
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Visualization Tools: Experience with data visualization tools such as Qlik, Microsoft Power BI, Tableau to create intuitive representations of metadata and data lineage.
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Knowledge in Data modelling, working with calculations, leveraging the Set Analysis
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Experience in Implementing RBAC policies for various user groups such as Data Owners, stewards, consumers/stakeholders etc within the metadata management tool
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Implementation of out-of-the-box as well as custom workflows, user personas, custom reports / dashboards within the metadata management tool
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Functional Skills
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Business Glossary Management: Strong understanding of business glossary concepts and the ability to work with business stakeholders to define and manage business terms and their relationships.
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Data Governance Frameworks: Knowledge of data governance frameworks and best practices, including BCBS239, and the ability to implement governance policies for metadata and data lineage.
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Regulatory Compliance: Understanding of regulatory requirements related to data management, ensuring compliance in metadata and data lineage implementations.
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Should have worked in large scale data warehouse & on-premise Power BI, Qlik based visualisation
Other Critical Skills
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Strong analytical and problem-solving skills to address challenges related to metadata quality, data lineage accuracy, and overall data governance effectiveness
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Fast Learner, enjoy analytical and data modelling work and proactive in providing solutions
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Good interpersonal and communication skills with attention to details
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Be forward looking and agile to adapt to changing bank’s needs and dynamic working environment
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Identify ideas to improve system performance and impact availability
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Embrace tackling and resolving complex technical design issues
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Possess strong problem solving and decision-making skills while exercising good judgment
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Ability to work on multiple projects at a time
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Be able to work under pressure and manage deadlines or unexpected changes in expectations or requirements
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Ability to work in a team distributed across multiple locations
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Qualification / Certifications
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Degree in Computer Science or related discipline
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Certification of leading data governance product providers (Informatica, IBM, Alation, Solidatus, Collibra etc.)
