About Patria Technology Patria is an alternative investment firm investing across Private Equity, GPMS (Fund of Funds), Infrastructure, Real Estate, Credit and Public Equities. Technology supports the firm through a period of growth, including acquisitions and expansion across asset classes and geographies. Technology is organized into value streams, which own the technology serving a business area end to end, and shared capabilities, which provide common platforms, standards and services. This is a new position within an established Technology function that includes Information Security, Technology Governance, Infrastructure and value-stream leads.

Role purpose

Lead Patria's enterprise data capability, giving the firm one trusted view of its funds, investors, investments and assets across asset classes and geographies. The role owns Patria's data platforms and strategy, including corporate, commercial and investing areas.

Scope boundaries: Architecture strategy and technical standards are set with the Head of Platform, Engineering & Data , who is accountable for them, while this role is responsible for their implementation; cloud foundations sit with the Infrastructure Lead; data ownership sits with business-unit data owners, which should be developed.

What you will own

• Evolve and translate the enterprise data strategy into a target architecture with a sequenced roadmap for the data platform, governance and data products.

• Work with business value stream leads to identify and link discretionary change to the firm’s data roadmap

• Own Fund Operations Patria’s Data Platform end to end (ingestion, master data, normalisation, reconciliation and reporting), including releases and implementation partners.

• Act as Global Data Governor: own the Global Data Dictionary and global reporting model, approve model changes and appoint data owners and stewards in each business unit.

• Run a repeatable process to onboard new business units, asset classes and acquisitions onto the Patria Common Data Model.

• Set data quality, lineage and access controls with Information Security, meeting audit and regulatory requirements.

• Deliver governed, AI-ready data for reporting, analytics and AI, including data products such as the client 360 view.

What success looks like in the first 12 months

• Assess current state data architecture, data program and discretionary projects with a significant data component to identify common themes and needs

• Work with CTO, to define a target architecture and implementation approach

• Align and govern Patria’s discretionary program from a data perspective - ensuring data delivery is designed and implemented in line with new strategy/target architecture

• Implement initial data governance capability (taxonomy) and create data literacy improvement plan for Patria

• Support the firm’s 2030 vision (data needs) which aims to build scalable processes that cross current regional divides

• A roadmap for the Patria Common Data Model, including Private Credit, is approved and the next business unit is onboarded.

What we are looking for

Essential

• Senior leadership of enterprise data platforms, data management and governance. Financial services experience is required; a fund operations or asset management background is strongly preferred.

• Depth in data architecture: lakehouse, data mesh, master data management, dimensional and reporting models, and administrator and custodian data integration.

• Track record of data governance operating models (ownership, stewardship, dictionaries, quality, change control) adopted by the business.

• Experience scaling a data platform across business units, jurisdictions or acquisitions with implementation partners.

• Ability to bridge business and technology, with hands-on credibility, people leadership and executive communication.

Working with internal and external partners to support

Preferred: Private-markets data (funds, investors, positions, portfolio companies, real estate, credit); AI use cases on governed data.

Technologies: Google data stack, Power BI, SQL, Python, MDM, API/SFTP integration, CI/CD. Preferred: Snowflake, BigQuery, Salesforce, DealCloud, MCP, Holland Mountain Atlas and Azure data stack (Data Lake, Azure SQL, Analysis Services)

Languages: English (essential); Portuguese and/or Spanish (preferred).

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