PM (ATC) - (CREQ128818)
Identify data and information needs for Compliance, Operational Risk and Audit functions of Citi
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
Unify data concepts across Risk, Compliance and Audit functions
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 with Erwin for data modeling is desirable.
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
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.
Flexible, team-oriented with excellent interpersonal and collaborative skills.
Experience of change management with program/project management or PMO experience in using a structured methodology to successfully track, plan, monitor, and report on concurrent, multiple projects.
Proven ability to deal with ambiguity in a rapidly changing business environment, resolve problems, and offer impacting solutions.
Proven ability to work in a cross-functional, fast-paced finance environment, and lead and drive complex operational initiatives across multiple geographies with diverse resources.
A bachelors or masters degree in a quantitative field (e.g. engineering, computer science, business, economics, finance, statistics, and/or data analytics
: Full Time
: 13/06/2022, 2:13:00 PM