Data Governance- Python Engineer
Data Governance- Python Engineer
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Job Description
Location 5 days onsite in Dallas TX
Job Description
PLATFORM SOLUTIONS:
In Platform Solutions (PS) we power clients with innovative and customercentered financial products. We bring the best qualities of a technology player and combine that with the best attributes of a large bank. PS is comprised of following main businesses underpinned by engineering operations and risk management:
- Enterprise Partnerships consumer financial products (cards and loans) that companies embed directly within their ecosystems to better serve their end customers.
- Transaction Banking a cash management and payments platform for clients building a corporate treasury system.
- ETF Accelerator a platform for clients to launch list and manage exchangetraded funds.
Join us on our journey to deliver financial products and platforms that prioritize the customer and developer experience.
JOB SUMMARY & RESPONSIBILITIES:
The PSEP Data Governance team is a central firmwide team that is responsible for delivering data governance across the firm.
We are a global team. We work with divisional stakeholders to provide transparency into where data enters the firm how it is transformed/reported/classified and what data quality controls exist for critical datasets. Our internal clients use this information to gain insights aiming to eliminate duplication improve data quality respond faster to new business opportunities and to meet regulatory requirements. Our users need to search and visualize the firms data flows.
The firm is investing significantly to enhance data quality across the firm to enable increased data commercialization improve client experience and ensure high quality of data sent to other external and internal parties.
This function is a key component of these deliverables.
- Understand endtoend cards and loans business knowledge including credit fraud and application lifecycle.
- Help promote the data governance framework and drive adoption across all the firms divisions.
- Partner with Divisional Data Offices to help them implement the policies and procedures for Data Governance
- Participate in working groups to improve data quality and ease of access to information.
- Provide guidance and training on how to plan implementation of requirements set forth by the policy.
- Work with the technical team responsible for developing the data governance platform and tool set.
- Drive ongoing governance initiatives to meet policy and audit standards for PSEP division of the firm globally.
- Monitor the divisions risk posture providing management with transparency utilizing management reporting/dashboards.
- Liaise with business managers within the division to develop risk remediation plans and advise on control options.
EXPERIENCE REQUIRED:
Required Qualifications
- Bachelors degree with prior knowledge of data governance and data quality is required.
- Good coding background on Python and writing complex SQLs is must to participate in data analysis.
- Experience defining a governance roadmap identifying KRIs defining KPIs and leading the control implementation.
- Experience working with stakeholders on projects to develop strategies and solutions ideally related to data.
- Experience working with a business team to develop functional requirements and translating those into technical requirements is important.
- Ability to work in a collaborative manner with stakeholders and drive consensus is essential.
- Proficient with spreadsheet/presentation/dashboard tools and ability to learn quickly and adapt to new changes and new challenges.
- Effectively partner with divisions across the firm with a focus on endclient value.
- Proactive and works well in a collaborative environment.
- Strong written and verbal communication skills.
- Good attention to detail and analytical thinking.
Preferred Qualifications
- Prior knowledge of consumer banking and products including cards and loans.
- Helpful to understand firmwide data governance tools including alloy panorama and alation.
- May have a software engineering background (not required).
- Experience of data governance or data management.
- Experience working with ELK.
Data Governance,Data Quality,Python
Employment Type
Full Time
