Data Quality Risk Governance Manager, Vice President, P4, CDRR
International Commerce Centre, Hong Kong
Morgan Stanley
The Firm's Data and Information Governance Framework (DIGF) sets forth the governance structure responsible for the oversight and management of Data and Information Related Risks. Data Quality (DQ) is one of the four risk pillars and is focused on mitigation of risk caused by the creation, acquisition, sourcing, or usage of data and information that is incomplete, inaccurate, or untimely may lead to errors in reporting, disruption to business and / or additional negative outcomes that may impact the Firm. The data quality risk management lifecycle has four main parts:
1) Identification of systematic and comprehensive DQ related Risk inventory
2) Effective DQ related risk assessment which determines prioritization for remediation.
3) Ongoing remediation of DQ related risks
4) Ongoing 1st/2nd line systematic reporting and consistent validation
The Technology Divisional Data Office (Tech DDO) function sits within the Technology organization and reports into the Technology Data Quality Governance Committee (TDGC). Tech DDO's mission is to ensure the highest level of data quality for support of critical business processes that use and produce data for Technology (Tech for Tech), Enterprise Fraud and Firm Resilience functions.
Responsibilities
The DQ Risk Governance Manager will support the implementation of the Global Data Quality Policy for Tech for Tech, Enterprise Fraud and Firm Resilience data. This includes the day-to-day execution of the Technology Data Quality Risk Reduction Roadmap, i.e. the identification of key areas of DQ risk and associated use cases and the determination of data quality control requirements across systems. This work will require a good understanding of the technology applications ecosystem, end-to-end data flow analysis, assessment of data quality controls, identification of business data ownership, cataloging of this metadata into the Firmwide Data Catalog (Collibra), and managing the annual re-attestation of data and control ownership among technology and business partners. As this role is based in Asia, there will be a particular focus on local regulations which impact Technology Data.
Additional responsibilities will include providing succinct and timely updates for various forums including the Technology and Firmwide Data Quality Governance Committees. This is fast paced role that requires a quick grasp of key concepts as you connect with various stakeholders in the Technology organization to enable data quality governance. This role requires building relationships with Technology SMEs, key members of the Firmwide Data Office, other business unit aligned DDOs and supporting business units such as Operational Risk Department and Internal Audit.
Skills Required:
> Highly motivated, self-starter with a clear ownership mindset and ability to appropriately challenge assumptions.
> Strong organizational skills, attention to detail, and proven track record of project prioritization, execution, and risk management
> Strong analytical skills, including a thorough understanding of data flows and high level technical design implementations
> Strong relationship management skills to successfully coordinate across various Business and Technology functions and partners.
> Team player who is results oriented, self-motivated, and able to act on own initiative; able to lead and influence without direct authority.
> Robust problem-solving skills and strong work ethic
> Ability to clearly present ideas and project status to business stakeholders
> Candidate should be able to adapt to a fast paced and change driven environment.
> Comfortable working at low levels of detail, examining data and trends in values to understand variations and seek the root causes, to legitimize the trend or classify it as a data quality governance issue.
Preferred Qualifications:
> Knowledge of and experience with Asia regulations related to data (including Hong Kong, Japan, China, Singapore, Australia, India, etc.).
> Bachelor's degree in Computer Science, Management Information Systems, Information Technology, or related field
> 8+ years of experience in financial services technology and/or data quality governance
> Experience with data cataloguing tools such as Collibra
> Knowledge of technology/information technology assets, policies, and controls
> Excel experience with the ability to write ad-hoc queries and use of Excel functions (pivots, macros) to perform data analysis
> SQL experience
> Strong written and verbal communication skills, interpersonal skills and the ability to interface effectively or influence Business Users, other IT groups and team members
> Strong proficiency in creating succinct PowerPoint materials to present key information points
> Proven ability to manage multiple, concurrent projects and competing priorities with minimal supervision.
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Data quality Excel SQL
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