Enterprise Data Management Specialist

We're looking for a talented professional to manage the continuous changes and development of our enterprise analytics data assets and production solutions. Your responsibilities will include implementing data and analytics solutions for our businesses and clients, as well as managing data workstreams and communications with clients and partners.

The ideal candidate will have a strong attention to detail and focus on high-quality delivery, with excellent verbal and written communication, collaboration, and relationship-building skills. You'll also need to be comfortable working with clients and partners at all levels of the business, and have a relentless desire for understanding how processes work and entrepreneurial drive to learn new skills and technologies.

• Drive client engagement, scope of work review, requirements collection, and project planning for the data management workstream of new implementations.
• Manage data workstream progress and communications with clients and partners to ensure successful delivery of critical milestones along the project plan.
• Collaborate with client investment, technology, and data professionals to ensure alignment and clarity of data scope, mapping, normalization, and implementation approaches.
• Educate and guide clients on data conventions and target state data management workflows, inclusive of on-site training for client data teams.
• Use standard interfaces and configurable elements to facilitate the onboarding of client data from clients directly and/or third-party data providers.
• Partner with front-office and investment process practice leads to configure investment portfolio structure, benchmark assignments, and establish proper risk analytics deliverables.
• Manage systematic data reconciliation and reviews and drive the resolution of issues with internal data owners, external vendors, and/or the development of solutions with clients and partners.
• Partner with Analytics Stewards to ensure valuation and risk analytics results are comprehensive and up to market and modelling standard.
• Manage client requirements, provide critical business, and technical analysis to development partners in data stewards, production solutions, and engineering functions for new data and solutions development. Provide validation and directly manage the client UAT.
• Create dedicated client documentation with standard templates and partner with Data Operations to transition new clients into production support.

We're looking for quick learners, independent thinkers with new perspectives to challenge the way we operate and help prototype new solutions we can ultimately deploy to a standard implementation playbook.

Individuals with strong technical and analytical interests and skills would find this role best in supporting their continuous developments through the ownership of critical client project elements as well as organizational initiatives to constantly evolve the platform and best-practice, leveraging data and technology.

• Bachelor's Degree is required, with preference to business, technology, or engineering focus.
• 3-6 years of experience either as an investment/data technology implementation specialist or with direct relevant user, development, service, or operation experiences.
• Familiarity with investment data and analytics is required; Private markets or derivative specialities is a plus.
• Strong attention to details and focus on high-quality delivery.
• Comfortable working with clients and partners at all levels of the business.
• Relentless desire for understanding how processes work and entrepreneurial drive to learn new skills and technologies.
• Strong track record of successfully handling and completing large and complex projects. Critical thinking and demonstratable experience using technology to solve problems at scale.
• Shown ability to work well independently or as part of a team in an innovative, ambitious, and fast-paced environment, run multiple tasks, adapt to change, and work well under tight time restraints.
• Excellent verbal and written communication, collaboration, and relationship-building skills.
• Working experience with Python, SQL preferred. Knowledge of UNIX, PERL, Java is a plus.

We're committed to creating an environment where our colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities to help them thrive.