Senior Finance Data Governance Consultant (Contract)

Why Sony Interactive Entertainment?

Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.

Senior Finance Data Governance Consultant (Contract)

*This is a 12 month temporary assignment

Sony Interactive Entertainment is seeking an experienced, hands-on Finance Data Governance consultant to help establish and operationalize SIE’s Finance Data Governance capability. The role will partner across Finance and Technology to define governance standards, document critical Finance data and lineage, establish data quality controls, govern master data and hierarchies, and support priority Finance data products.

The ideal candidate should have 8+ years of experience in data governance, Finance transformation, or Finance data management, with strong knowledge of financial processes and systems. Experience with SAP S/4HANA, Snowflake, data catalog/governance platforms such as Atlan or Collibra, and enterprise reporting tools is preferred. The candidate should be comfortable working independently in a greenfield environment and translating complex Finance and technical requirements into practical, sustainable governance processes.

Responsibilities:

Establish the Finance Data Governance Foundation

• Assess the current maturity of Finance data governance, documentation, ownership, controls, and data management practices.
• Design and implement a practical Finance Data Governance operating model, including roles, decision rights, governance forums, workflows, escalation paths, and operating cadences.
• Create governance standards, procedures, templates, decision logs, issue-management routines, and approval processes that Finance and Technology teams can use in practice.

Build the Finance Data Inventory and Business Glossary

• Identify and inventory priority Finance data domains, systems, tables, reports, interfaces, data products, calculations, mappings, and critical data elements.
• Document business definitions, ownership, stewardship, approved usage, security classification, refresh frequency, and downstream dependencies.
• Resolve conflicting definitions across Accounting, FP&A, management reporting, statutory reporting, and regional Finance teams.
• Prepare metadata for publication in an enterprise data catalog and establish workflows for maintaining, reviewing, approving, and retiring governance documentation.

Document Data Lineage and Finance Transformation Logic

• Map data from source systems through integration, transformation, consolidation, reporting, and analytical consumption.
• Document business rules, transformation logic, mappings, allocations, eliminations, adjustments, currency translation, and reconciliation points.
• Identify manual transformations, uncontrolled spreadsheets, duplicated logic, missing ownership, and lineage gaps, and support impact assessments for upstream changes.
• Partner with technical teams to distinguish business lineage from physical and technical lineage.

Establish Data Quality and Financial Data Controls

• Define practical Finance data quality standards, rules, thresholds, monitoring requirements, and acceptance criteria.
• Build a data quality rule inventory and support issue identification, triage, root-cause analysis, ownership, remediation, escalation, and closure.
• Develop data quality scorecards and maintain traceable and auditable evidence for approvals, exceptions, reconciliations, and remediation activities.

Govern Finance Master Data and Hierarchies

• Document and govern Finance master data, reference data, mappings, and hierarchies, including accounts, cost centers, profit centers, entities, products, regions, currencies, scenarios, and reporting periods.
• Define ownership, approval, versioning, effective dating, and change-control requirements.
• Partner with master-data and technology teams on future hierarchy-management and Master Data Management initiatives, including business requirements, process design, testing, and downstream-impact assessment.

Support Priority Finance Data Products

• Apply governance standards to priority Finance data products and procedures.
• Support documentation and validation of SAP financial and consolidation data, including ACDOCA and ACDOCU where applicable.
• Help document data flows and reconciliation requirements across SAP, consolidation and reporting platforms, Snowflake, Domo, planning tools, and downstream reports.·
• Support the development of governed enterprise context and semantic layers for reporting, analytics, and AI-enabled Finance use cases.

Drive Adoption and Manage Delivery

• Facilitate workshops, prepare executive-ready updates, develop training materials, and coach data owners and stewards on their responsibilities.
• Translate complex Finance and technical concepts into clear documentation and decisions.
• Establish a repeatable onboarding approach for new data domains and data products.
• Promote governance as an enabler of faster, more reliable reporting and analytics rather than as an administrative exercise.
• Develop and maintain a prioritized governance backlog with defined owners, deliverables, dependencies, and completion criteria.
• Work independently, identify missing requirements, and move ambiguous work toward resolution.

Required Qualifications:

• 8+ years of experience in data governance, Finance data management, Finance transformation, financial systems, data quality, metadata management, or related consulting roles.
• Demonstrated experience establishing or materially improving a data governance and data strategy capability in a complex enterprise.
• Strong understanding of Finance processes, including general ledger, management reporting, financial consolidation, planning, forecasting, close, and reconciliation.
• Experience documenting financial data definitions, business rules, mappings, hierarchies, lineage, controls, and data quality requirements.
• Experience partnering with Finance, Accounting, FP&A, data engineering, business intelligence, security, and enterprise technology teams.
• Ability to distinguish business ownership and governance responsibilities from technical platform and engineering responsibilities.
• Strong facilitation skills and the ability to drive decisions across stakeholders with different priorities.
• Demonstrated ability to create detailed, usable deliverables with limited existing documentation or structure.
• Strong written communication skills with the ability to produce both detailed working documentation and executive-level summaries.
• Experience working in a consulting, transformation, or contractor environment where measurable deliverables and knowledge transfer are required.
• Ability to operate independently in an ambiguous, fast-moving, greenfield environment.
• Bachelor's degree or equivalent.

Preferred Qualifications

• Experience with SAP S/4HANA Finance and related financial data structures, consolidation, or group reporting (e.g., ACDOCA, ACDOCU).
• Experience with cloud data platforms, enterprise analytics/reporting tools, and data governance/catalog platforms (e.g., Snowflake, Tableau, Power BI, Domo, Atlan, Collibra, Purview, or similar).
• Strong understanding of data quality and architecture, including SQL, data profiling/reconciliation, dimensional modeling, semantic layers, hierarchies, and modern data architectures.
• Experience working with Finance data in SOX-controlled or audit-sensitive environments, including data supporting automation and AI; consulting, Finance transformation, or enterprise data advisory experience preferred.

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At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.

Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.

In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more.

The estimated base pay range for this role is listed below.

$129,600—$194,400 USD

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