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executing oncritical aspects of data governance policy.You will also leverage and further develop your leadership skills, as well as build relationships with others throughout the organization.
As a key leader in data transformation, you will drive execution of critical aspects of data governance policy and data strategy. You will partner with data consumers to agree on the scope of critical data quality challenges and ensure that the data operating model is implemented to reduce data risk. Remediation of issues will include partnering with various business and technology functions. You will help build a deep, comprehensive, and documented understanding of Citi’s key data, data processes, and data flows. Partnering with business data stewards willbe requiredto ensure maintenance of key artifacts and overall data quality improvements.
You will be hands-on leading the consolidation of disparate information about the data, as well as ensuring a sustainable understanding of how data flows through operational and analytic platforms. Through the work that you drive,will institutionalize an enhanced understanding of information assets at an aggregate level, data concept level, and data attribute level. The role partners with other colleagues withinYou will lead an agile team to fulfill commitments to reducing Citi’s data management risks, as well as support the cultural shift toward active data management and ownership.
Main responsibilities
Serve as a thought leader and understand all aspects of Citi Data Governance Policy, data standards, and data procedures, including but not limited to data lineage, metadata, data quality, data remediation, and issue management. Thought leadership can be displayed in many ways, including influencing the content of data procedures anddetermininghow issues will be remediated.
comprisedof CDO, technology, and business contributors that will deliver on requirements. This includes the adoption of CDO capabilities as required by Policy and regulatory commitments. Management scope includes project planning,prioritizing requirements, seeking diverse points of view foroptimalsolutions, resolving issues, as well as influencing the Enterprise Chief Data Office and other central functions.
identify, recommend and/or implement processes and technologies that support successful deployment of Enterprise Data obligations.
Understand the business and business processes to provide insights into end-to-end data flows and the critical data elements that flow across all systems in the lineage. Partner with Data Stewards to drive end-to-end management and consistent usage to maximize the trustworthiness in reported data.
data quality “hot spots” or points of exposure.Determinestrategies to improve data quality controls and monitoring routines to de-risk points of data quality vulnerabilities using CDO approved tools and solutions.
Create or support the creation of data and system flow documentation and process maps. Work to align other key data capabilities including metadata repositories, data dictionaries, data lineage, business process maps, and training materials with the data and system process flows.
Institute and manage change management processes related to data and system flow documentation and related data governance procedures.
identifyand support opportunities to streamline and simplify the execution of data transformation initiatives and data capabilities.
Leadership
Manage an agile team to improve data quality and ensure compliance with data governance policy.
Support the Chief Data Office's best practices. Seamlessly navigate between CDO, technology teams and various data stakeholders.
Be a trusted and informed advisor/partner to regional teams and lines of business staff members.
Prepare and present status updates and solutions to stakeholders, business partners, and technology teams in a succinct manner to drive decisions and actions.
Lead meetings and working sessions to solve issues, challenges, and risks by factoring input from partners and diverse points of view.
Promote “data as an asset” and influence culture change to make the organization increasingly moredata-driven
Required Qualifications
Bachelor’s degree in business, Finance, Engineering, Information Systems, or an equivalent combination of education and experience.
At least 5+ years of experience in banking and financial services industry, information technology, and data governance. Experience includes supporting data quality initiatives, aligning business processes with data, implementing technology solutions, supporting data standards/policies, and data-related issue management and remediation efforts.
Experience with data managementprocesses and toolsand applications, including process mapping and lineagetoolsets
Strong knowledge of structured/unstructured databases, data modeling, data management, rapid/iterative development methodologies, and data governance tools.
Led initiatives within a line of business. Demonstrated relationship management and advisory skills with sponsors, key stakeholders, partners, and team members in both business and technology forums.
Good presentation skills, business and technical writing, and verbal communication skills to support decision-making and actions.
Excellent problem-solving and critical thinking skills to recognize andcomprehendcomplex data flow and designs. Self-motivated and able to dynamicallydeterminepriorities.
Strong understanding of data governance issues, policies, regulatory requirements, and industry information affecting the business environment.
Actively managed various aspects of data initiatives including analysis, planning, execution, and day-to-day production management. Experience includes supporting data quality initiatives, aligning business processes with data, implementing technology solutions, supporting data standards/policies, and data-related issue management and remediation efforts.
Led efforts to solve data issues while gathering a variety of inputs from cross-functional team members.
Regularly providedtimely, action-focused status updates and escalations to management and stakeholders.
Preferred Qualifications
Master’s degree in business, Finance, Engineering, Information Systems, or an equivalent combination of education and experience.
At least 8+ years of experience in banking and financial services industry, information technology, data management and governance.
Knowledge of mortgage, credit card, deposit, and wealth management products, as well as experience using large datasets for the preceding products.
Familiarity withleveragingagile practices to quickly deliver high-quality results.
Experience as a product owner for an agile team.
Anticipated Posting Close Date:
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