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Job Description:
Responsibilities:
Architect and Design scalable Data and AI solutions. Evaluate technologies, tools, and platforms.
Identify and evaluate emerging technologies, such as Data and AI, and assess their potential impacts and benefits and present it to Internal and External stakeholders.
Identify data and information needs for Regulatory, Compliance, Operational Risk and Audit functions.
Help design and implement a strategic data architecture framework that will facilitate the availability, accessibility, quality, and reliability of data across multiple technology data domains.
Design and maintain blueprint of the information architecture, reference models, data integrations and controls aligned to the business strategy
Develop conceptual, logical, physical models and meta data solutions, as required
Determine database structural requirements by analyzing client operations, applications and data from existing systems
Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists, and governance teams
Define, model, and rationalize target state architecture, socialize with key stakeholders and conduct walkthrough.
Collaborate with Enterprise, Sector and Federated architecture team and adopt recommendations
Incorporate data standards and implement governance model
Develop data flows, ownership matrixes and data lineage
Implemented physical data model, contribute to the system and operational design, carry out optimization for usability and performance
Expertise in RDBMS, NoSQL, Data Warehousing, Big Data and Data Visualization tools is preferable
Working knowledge of message queuing, stream processing, and highly scalable big data data stores is preferable.
Hands-on tools experience in building data pipelines is must.
Required Skills: A senior delivery manager with 10+ years of relevant experience in the definition, analysis, implementation of data management related initiatives
Financial service industry acumen and experience to lead large cross-functional initiatives in information architecture, reference models management and data integrations
Deep understanding of data architecture principles, database technologies (SQL and NoSQL), data integration, BI and ETL processes.
Expertise in AI and machine learning technologies, tools, and platforms.
Proficiency in programming languages such as Python Or Scala and distributed computing leveraging Spark
Understanding of data governance, management, and data capabilities needed for a robust data program in support of business objectives.
Experience in leading the establishment of data capabilities at an enterprise level.
Strong analytical and problem-solving skills, appreciation of the enterprise data vision.
Self-motivated with the ability to make decisions in absence of detailed instructions.
Impeccable business judgment and ability to communicate effectively with management, vendors, and global teams.
Ability to influence senior Data Governance, Compliance, Operational Risk and Audit, and other key business stakeholders.
Ability to effectively communicate, both upwards and downwards, across organizational levels.
Nice to have skills: Agile, JIRA, Bitbucket, Communication Skills
Job Description:
Responsibilities:
Architect and Design scalable Data and AI solutions. Evaluate technologies, tools, and platforms.
Identify and evaluate emerging technologies, such as Data and AI, and assess their potential impacts and benefits and present it to Internal and External stakeholders.
Identify data and information needs for Regulatory, Compliance, Operational Risk and Audit functions.
Help design and implement a strategic data architecture framework that will facilitate the availability, accessibility, quality, and reliability of data across multiple technology data domains.
Design and maintain blueprint of the information architecture, reference models, data integrations and controls aligned to the business strategy
Develop conceptual, logical, physical models and meta data solutions, as required
Determine database structural requirements by analyzing client operations, applications and data from existing systems
Participate in requirement engineering and working groups and collaborate with business leads, operations, SMEs, technologists, and governance teams
Define, model, and rationalize target state architecture, socialize with key stakeholders and conduct walkthrough.
Collaborate with Enterprise, Sector and Federated architecture team and adopt recommendations
Incorporate data standards and implement governance model
Develop data flows, ownership matrixes and data lineage
Implemented physical data model, contribute to the system and operational design, carry out optimization for usability and performance
Expertise in RDBMS, NoSQL, Data Warehousing, Big Data and Data Visualization tools is preferable
Working knowledge of message queuing, stream processing, and highly scalable big data data stores is preferable.
Hands-on tools experience in building data pipelines is must.
Required Skills: A senior delivery manager with 10+ years of relevant experience in the definition, analysis, implementation of data management related initiatives
Financial service industry acumen and experience to lead large cross-functional initiatives in information architecture, reference models management and data integrations
Deep understanding of data architecture principles, database technologies (SQL and NoSQL), data integration, BI and ETL processes.
Expertise in AI and machine learning technologies, tools, and platforms.
Proficiency in programming languages such as Python Or Scala and distributed computing leveraging Spark
Understanding of data governance, management, and data capabilities needed for a robust data program in support of business objectives.
Experience in leading the establishment of data capabilities at an enterprise level.
Strong analytical and problem-solving skills, appreciation of the enterprise data vision.
Self-motivated with the ability to make decisions in absence of detailed instructions.
Impeccable business judgment and ability to communicate effectively with management, vendors, and global teams.
Ability to influence senior Data Governance, Compliance, Operational Risk and Audit, and other key business stakeholders.
Ability to effectively communicate, both upwards and downwards, across organizational levels.
Nice to have skills: Agile, JIRA, Bitbucket, Communication Skills
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