Company

Toorak Capital Partners (“Toorak”) is an integrated capital provider and investment manager headquartered in Tampa, FL and with offices in Summit, NJ and London, UK. Toorak partners with private lenders throughout the U.S. and the U.K. and has acquired over $13B in(20,000+) business purpose mortgage loans backed by residential, multifamily, and mixed-use properties. Toorak manages all aspects of its investment portfolio using its dedicated internal team, including loan sourcing, pricing, underwriting, acquisition, capital markets (securitization/debt issuance) and asset management.

With capital commitments from entities managed by KKR, a leading global investment firm, Toorak has revolutionized the way business purpose real estate lenders access capital. The firm was the first to link private lenders with institutional capital. Toorak has been recognized by NJBIZ as New Jersey’s #1 fastest growing company in 2019 and 2020 and has earned the #3 spot for the Fastest Growing Company in NYC Metropolitan Area by Crain’s New York Business.

Required Skills

B.S. in Information Technology, Data Management, Computer Science or a related field required.
5+ years of proven experience in developing and implementing data governance at an enterprise level.
Exhibit ability to partner and coordinate data initiatives across multiple teams and functions to ensure adherence to best practices and meet data governance objectives.
Database design experience and experience with data modeling tools like Erwin etc.
Proficiency in using data management tools and platforms, such as data cataloging software, data quality tools), and data governance platforms
Experience with Big Query, SQL Mesh (or similar SQL-based cloud platform).
Strong SQL skills.
Using version control systems (e.g., Git) to manage changes to data governance policies, procedures, and documentation
Experience with leading vendor tools to support data governance activities
Excellent communication and business writing skills, including ability to draft business requirements.
Ability to rapidly comprehend changes to key business processes and the impact on overall Data Governance framework.
Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
Advanced analytical skills.
High level of organization and attention to detail.
Self-starter attitude with the ability to work independently.
Knowledge of legal, compliance, and regulatory issues impacting data.
Experience in finance preferred.

Responsibilities

The role of the Senior Manager of Data Modeling and Governance is to develop, implement, and maintain enterprise ontologies in support of Toorak’s Data Strategy
Lead sourcing and synthesis of Data Standardization and Semantics discovery efforts turning insights into actionable strategies that will define the priorities for the team and rally stakeholders to the vision
Own and prioritize the long-term (12-18 months) Ontology and Data Modeling roadmap to deliver on business outcomes, working closely with a cross-functional team to ensure that all the right resources are aligned to ensure that your team will be successful
Understand how ontology and data models fit into the larger ecosystem, anticipating impacts from changes in other parts of the business.
Communicate and advocate the value of Toorak's efforts in ontologies, semantics, and standardization and proactively leverage relationships throughout the ecosystem to align to your vision and influence prioritization across partner teams
Contribute to data integration and mapping efforts to harmonize data.
Champion standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Toorak.
Providing training, feedback, and support to users on the usage of data provided

Other

Must be authorized to work in the US
Must be able to work in the office 5 days a week, if required
Toorak provides an excellent benefits package that includes medical, dental, life, 401(k) and more.

Equal Opportunity Employer

Toorak Capital Partners

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Manager Data Governance Modeling