Data Lifecycle Management role 3-5 Yrs

Job Description

WFO

Company Profile

Client is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. With offices in 42 countries, our Firm's employees serve clients worldwide including corporations, governments and individuals.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Client can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Department Profile

Professionals within Legal and Compliance provide a wide range of services to our business units. They might help to structure a complex and sensitive cross-border transaction advise on a new product introduction develop a training program or defuse an investor dispute. They preserve the Firm's invaluable reputation for integrity and protect the Firm from sanctions with policies and procedures that meet regulatory requirements around the world. They also strive to maintain cooperative relationships with governmental policy makers and the regulatory and self-regulatory agencies that govern the firm's businesses.

Information Management sits within Legal and Compliance. It focuses on the ensuring that the firm effectively retains, retrieves and protects information, meeting its legal and regulatory obligations and providing valuable insight regarding that information's location and business use to its customers and shareholders.

The team must engage and support a broad range of stakeholders, including the business owners, technology, Legal, Compliance, Risk, and Corporate Services.

Position Description :

We are seeking a highly motivated and client-focused Data Lifecycle Management ('DLM') specialist to join our team. In this critical role, you will be responsible for working closely with the business and technology teams to review new or changing applications, and ensure records retention, disposition, and archiving requirements are met. You will ensure that the business teams are informed on risks and required controls relating to data location, localization, transfer and use, and will engage colleagues in the Business, Technology, Compliance, Privacy, and Legal to ensure that relevant policies, regulations, and business requirements are being met. In addition you will work to agree processes and controls that are required to ensure ongoing compliance, and ensure that their implementation is appropriately tracked.

Responsibilities :

• Assess data and records retention, archiving, and disposition requirements of systems across all business divisions within the firm.
• Conduct reviews and analysis, including regular meetings with business and technology teams, and manage inbound questions from various business teams.
• Support the identification of risks relating to data management, including retention, disposition, location, transfer. Work with business, technology and compliance teams to ensure appropriate action plans are in place to mitigate these risks.
• Document accurate and concise data management requirements.
• Support stakeholders in identifying data risk management and operational controls.
• Coordinate and collect information, compile analysis reports and track implementation of recommendations to completion.
• Engage system and business owners in data management activities and aid in problem solving and decision making.
• Represent the DLM team and communicate Information Management policy requirements in cross functional meetings.
• Prepare team progress reports for manager by summarizing activities and trends.
• Develop process improvements and foster business and technical solutions with relevant team members.

Required Skills :

Nice to have :

Skills Required

Data Management, Power Bi, Cloud Technologies, Ai, Business Analysis, Tableau, Data Storage