Data Governance Engineer

Position Purpose

As a member of WM IT DCIO team, the candidate will work on WM Data Governance workstreams as prioritized (Data Quality, Data literacy, Data Lineage/Architecture, Data Privacy by Design, Data Protection workstreams).

Support WM IT DCIO team in driving the Data initiatives transversally with WM Leadership, Application Development & Maintenance (ADM), Engineering & Production (E&P), Security (CISO) teams.

Support the development & testing of software / applications for Data Management.

Note: DCIO complements Chief Data Office (CDO) within Wealth Management IT organization.

Responsibilities

Work closely with WM IT DCIO team to execute the Data Governance Implementation across Data Initiatives e.g., RAMI (Data Retention), Data Privacy by Design, Data Quality, etc.

Create and test proof-of-concept / solutions to support the strategic evolution of the software applications.

Data Governance SME within Wealth Management operationally working with Data Custodian IT Officer (DCIO), DPO (Data Protection Officer), CDO (Chief Data Officer) teams.

Hands-on with the development, testing, configuration, deployment of software systems in the Data Transversal organization

Operationalize Data Policies / Frameworks including Business Glossaries, Data Dictionaries, Data Profiling, etc.

Minimum 7+ years of experience as:

Data expertise (At least 2 of the following: Data Governance, Data Quality, Data Privacy & Protection, Data Management)

Bachelors degree in Engineering (Computer science or Electronic & Communications)

Qualifications:

Hands-on experience in working with Data (Data Profiling, Scorecards/BI)

Previously worked in Data Governance and Data Security

Financial Services products and Applications knowledge

Working knowledge across Excel, SQL, Python, Collibra, PowerBI, Cloud

Plus:

Skills required:

Knowledge about Data and Compliance / Regulatory environment( global and local Data Regulations)

Demonstrates flexibility and willingness to accept assignments and challenges in rapidly changing environment.

Understand how data is used (e.g., Analytics, Business Intelligence, etc.)

Working knowledge on Data lifecycle, and Data Transformations / Data Lineage

At least 2 of the following: Data Quality, Data Architecture, Database Management, Data Privacy & Protection, Security of data

Ability to define relevant key performance indicators (KPI)

Problem solving and team collaboration

Self-motivated and results driven

Project management and business analysis

Agile thinking

Transversal skills:

Proficient in design new process, adaptation of Group IT processes to Wealth Management IT

Strong communication to elaborate across stakeholders, and support change

Minimum 7 years of experience in Data / Tech .