Job Description
Business process and data understanding
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Develop a detailed understanding of how Fund Accounting data is created, enriched, transformed, reviewed, reconciled, approved, and consumed.
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Work with Fund Accounting, Data Governance, and Data Product Management to define business problems, intended outcomes, priorities, users, business rules, data ownership, and acceptance criteria.
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Identify sources of truth, data owners, business definitions, transformation points, downstream consumers, dependencies, controls, and process handoffs.
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Analyze current-state processes and data flows to identify manual work, duplicate logic, data issues, control gaps, and standardization opportunities.
Requirements and business rules
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Translate Fund Accounting needs into clear business, data, integration, reporting, and broader consumption requirements for the appropriate delivery teams.
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Define field definitions, measures, calculations, dimensions, filters, hierarchies, business rules, mappings, acceptance criteria, and expected outcomes.
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Partner with Data Governance and Data Product Management on data ownership, definitions, quality expectations, lineage, control requirements, prioritization, and decision records.
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Develop source-to-target mappings, data dictionaries, process flows, requirements, and traceability artifacts in collaboration with the teams responsible for implementation.
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Frame requirements clearly enough for the Finance Technology Data Solutions Engineer, Enterprise Data Engineering, Centralized Reporting / BI, and application teams to design, build, test, and deliver solutions that meet business objectives.
Data investigation, reconciliation, and testing
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Use SQL and structured analysis to profile data, compare sources, identify anomalies, trace records, quantify breaks, and support root-cause analysis.
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Perform field-level and aggregate analysis to distinguish source, transformation, reference-data, integration, and reporting issues.
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Partner with Fund Accounting, Data Governance, Data Product Management, engineering, and reporting teams to define validation rules, tolerances, exception categories, ownership, and remediation expectations.
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Develop and execute reconciliation, integration, regression, edge-case, reporting, and production-validation test scenarios as part of the broader delivery team.
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Create repeatable queries and validation packs that can be reused by the broader team.
Reporting and broader data consumption requirements
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Understand the business question, intended consumers, decisions supported, frequency, level of detail, and delivery channel for each consumption need.
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Define requirements for dashboards, reports, extracts, downstream applications, operational workflows, analytics, and other ways Fund Accounting consumes data and derives value from it.
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Identify governed sources of truth and document measures, calculations, dimensions, filters, business rules, refresh expectations, control expectations, reconciliation needs, and validation criteria.
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Convey agreed business requirements to Centralized Reporting / BI, which owns the technical build and delivery of scalable dashboards and reporting solutions using governed data.
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Coordinate Fund Accounting review, business validation, UAT, release readiness, and post-production validation for reporting and other consumption solutions.
Delivery and stakeholder partnership
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Act as the bridge between Fund Accounting business teams and Finance Technology while preserving important business and technical detail.
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Coordinate with Data Product Management, Data Governance, the Finance Technology Data Solutions Engineer, Enterprise Data Engineering, Centralized Reporting / BI, application teams, and delivery partners throughout the delivery lifecycle.
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Maintain traceability from the original business problem through requirements, design, testing, release, and validation of the delivered outcome.
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Communicate issues clearly, including affected users and data, business impact, evidence, decisions needed, and recommended next steps.
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Help convert recurring manual investigation into prioritized backlog items and governed, reusable, scalable data or consumption solutions.
Education: Bachelor's degree in Finance, Accounting, Information Systems, Computer Science, Engineering, Data Analytics, or a related discipline. Equivalent relevant experience will be considered.
Experience Required: 3 to 8 years in a technical data analyst, data-focused business analyst, financial data, accounting technology, or similar role in a controlled enterprise environment.
Must-have capabilities
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Strong SQL for profiling, joins, aggregations, reconciliation, anomaly detection, and root-cause analysis, preferably in SQL Server.
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Advanced Excel for structured analysis, including lookups, pivots, formulas, comparisons, and controlled validation workbooks.
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Experience defining business, data, reporting, and consumption requirements; mappings; measures; calculations; business rules; acceptance criteria; and test cases.
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Hands-on data-quality analysis, reconciliation, defect investigation, testing, business validation, and UAT.
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Ability to understand data models, ETL/ELT flows, APIs or file interfaces, reporting layers, and dependencies across source, data, and consumption layers.
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Ability to work effectively with Fund Accounting, Data Product Management, Data Governance, Finance Technology engineering, Enterprise Data Engineering, Centralized Reporting / BI, and application teams.
Strongly preferred
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Databricks, Python, PySpark, Power BI, Microsoft Fabric, Azure data services, or similar platforms.
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Fund Accounting, asset management, investor data, fund administrator, financial reporting, or investment operations experience.
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Working knowledge of accounting balances, transactions, capital activity, reference data, hierarchies, controls, and period-end processes.
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Experience defining requirements for dashboards, reports, extracts, downstream applications, operational workflows, or analytics.
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Exposure to delivery tooling, structured defect triage, release management, lineage, metadata, governance, and auditability concepts.
How success will be measured
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Business, data, reporting, and consumption requirements are clear, complete, testable, and aligned to business objectives.
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Data issues are identified and resolved faster through repeatable analysis, clear evidence, and coordinated ownership.
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Reconciliation, testing, business validation, and UAT produce reliable delivery outcomes.
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Fund Accounting consumption needs are translated into governed, scalable solutions delivered through the appropriate Finance Technology, enterprise data, reporting, or application team.
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Strong collaboration, traceability, and handoffs are established across the broader data and reporting operating model.
Reporting Relationships
Vice President, Head of Engineering - Secondaries Technology
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
