Senior Manager, Finance Business Architect

About the Team The Digital Enablement team within the Finance Transformation Office (FTO) is responsible for enabling Workday Finance’s transformation strategy with scalable, intelligent, and trusted digital capabilities. We drive data excellence, automation, and AI‑powered solutions that deliver efficiency and data‑driven insights across the Finance organization. Our team is a cornerstone in proving how modern finance operates when powered by Workday Financials, automation, and next‑generation AI. About the Role As the Senior Manager, Finance Business Architect on the Digital Enablement team, you will architect our journey to an AI‑first finance function and ensure all the building blocks are in place to maximize value and trust. You sit at the intersection of finance, technology, and data, consolidating and evolving our finance ecosystem, defining our business architecture, and delivering data quality and governance foundations that will make our finance function AI‑ready. This is a high‑impact, cross‑functional role for someone who can translate business needs into technology solutions and who cares deeply about data integrity as a foundation for intelligent decision‑making. Responsibilities Finance Technology Strategy and Consolidation Partner with Business Technology on the Finance Technology roadmap, evaluating, rationalizing, and consolidating the tool landscape to reduce redundancy and improve efficiency. Align with enterprise architecture and partner with Business Technology and Finance leadership to assess platforms and systems and prioritize investments. Finance Business Architecture Serve as Finance Business Architect, translating finance process requirements into scalable system and data designs. Drive explicit data design needs. Identify source‑of‑truth systems and map how data flows between them. Define system and integration patterns that satisfy those needs. Determine what sits in Workday vs data warehouse vs planning tool. Diagnose which integrations (APIs, files, event streams) are needed and how they’re orchestrated. Partner with Process Owners to translate their outcome‑based process design into a coherent data and technology architecture, identifying where today’s systems or data model will prevent us from hitting those outcomes, and defining what needs to change. Data Integrity, Consistency, and AI Readiness Lead the identification and resolution of data integrity and consistency issues across finance systems and data pipelines. Define and enforce standards for finance master data management (MDM) – including charts of accounts, cost centers, legal entities, and intercompany structures – and drive initiatives to ensure finance data is clean, complete, timely, and structured to enable AI and advanced analytics use cases. Lead data mapping and integration across systems including Workday, Salesforce, and Snowflake. Ensure alignment and consistency of data across systems, reports, and finance processes. Build and maintain reconciliation and validation frameworks to ensure data accuracy and completeness. Monitor data quality, resolve discrepancies, and drive root cause analysis. Data Quality and Governance Frameworks Help design and implement a Finance Data Governance framework, including policies, ownership models, stewardship accountabilities, and escalation paths partnering with the data governance team within Workday. Define data quality dimensions (accuracy, completeness, timeliness, consistency), build monitoring and alerting mechanisms, and establish data quality scorecards and reporting for finance leadership. Champion a data‑first culture within the Finance organization, embedding governance practices into day‑to‑day operations. Qualifications Required Qualifications 12+ years of experience in finance technology, business architecture, data governance, or a related discipline, with progressive responsibility. 5+ years of experience leading and developing high‑performing teams. Demonstrated understanding of core finance processes – close, consolidation, planning, reporting, and procurement‑to‑pay, order‑to‑cash, FP&A. Experience building anomaly detection frameworks within a finance context, including designing detection logic, defining thresholds, and operationalizing alerts to identify data inconsistencies, process exceptions, or financial irregularities. Other Qualifications Experience translating finance process requirements into scalable system and data designs, including mapping current‑state and future‑state processes, defining data flows, and documenting system interdependencies and integration patterns. Skilled in overseeing finance platforms and systems, including establishing tiered support models, escalation paths, and continuous improvement cycles to ensure system stability and performance. Experience with automation technologies and AI/ML concepts, including what it means for data to be “AI‑ready” – structured, labeled, consistent, and governed. Exposure to additional AI or machine learning applications within Finance is valued, such as forecasting models or NLP for invoice processing. Expertise in designing data quality frameworks and working with data lineage, master data management, or data catalog tools. Familiarity with data governance tools such as Collibra, Alation, or Microsoft Purview is a plus. Experience with modern data platforms such as Snowflake, Databricks, or dbt, with the ability to collaborate with Data Engineering and Analytics teams to build and validate AI‑ready finance data sets and pipelines. Skilled in building productive relationships across various teams to drive alignment on shared priorities. Excellent written and verbal communication skills, including the ability to produce clear documentation, frameworks, and executive‑level presentations that drive decision‑making and alignment. Foster a culture of innovation, accountability, and continuous learning across distributed teams. Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, as well as annual refresh stock grants. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here. Primary Location: USA.CA.Pleasanton Primary Location Base Pay Range: $201,000 USD – $301,400 USD Additional US Location(s) Base Pay Range: $169,700 USD – $301,400 USD Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in‑person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in‑office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote “home office” roles also have the opportunity to come together in our offices for important moments that matter. Equal Opportunity Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email View email address on click.appcast.io. #J-18808-Ljbffr Workday