• Take high-level product requirements and break them down into: UX flows; User & functional requirements; acceptance criteria; economic logic and calculations. • Design multiple implementation scenarios, including trade-offs in unit economics. • Build and maintain feature-level metrics. • Ensure proper tracking setup with Data/PM. • Validate data quality. • Develop unit economics models together with Product/Pricing. • Collaborate with Design to balance UX, conversion, and compliance. • Coordinate across Dev, QA, and stakeholders; proactively manage risks. • Own and maintain documentation in Confluence; support estimation process. • Generate and validate hypotheses based on data; propose metric-driven improvements.

Role Description Fragomen, an AMLaw 100 Firm and the leading global immigration services provider, is strengthening its enterprise data foundation to enable consistent client delivery, trusted reporting, and scalable automation. We are seeking a senior level leader to advance our Master and Reference Data Management (MDM/RDM) program, with a particular focus on the Service Catalog that defines how we deliver services to clients. As a Business Data Governance Analyst, you will work closely with senior data governance leaders, business stakeholders, and technology teams to help define, maintain, and steward enterprise master and reference data. This is an execution-focused role with strong opportunities to learn enterprise data governance practices in a global, professional services environment. - Support the Service Catalog as a Product - Assist with maintaining the Service Catalog, including business definitions, attributes, and metadata - Help document and update catalog structures such as hierarchies, taxonomies, and classifications - Support intake, review, and change management processes for catalog updates - Ensure catalog data aligns with downstream needs such as reporting, operations, and automation - Participate in MDM/RDM and Data Governance Activities - Support onboarding of master and reference data domains under governance - Help apply standards for naming conventions, identifiers, hierarchies, and code sets - Assist with stewardship workflows, approvals, and documentation - Work with senior team members to track decisions, actions, and governance outcomes - Assist with Data Quality within MDM/RDM domains - Help monitor basic data quality metrics (e.g., completeness, validity, duplication) - Support issue tracking, triage, and documentation of root causes - Assist with remediation efforts by coordinating with data owners and system teams - Contribute to preventative controls such as validation rules and standardized intake templates - Collaborate Across Teams - Partner with business, product, and technology teams to support consistent use of governed data - Assist with aligning Service Catalog data to enterprise data models, glossaries, and metadata tools - Help document use cases and requirements related to analytics, integration, and automation Qualifications - 2–4 years of experience supporting data, analytics, data governance, or related initiatives in an enterprise environment. - Foundational understanding of data concepts such as data quality, metadata, data standards, and governance principles. - Experience working with data documentation, data cataloging, or reporting tools (or a strong willingness to learn). - Ability to work collaboratively with business, technology, and data stakeholders. - Strong communication skills, with the ability to document information clearly and engage with diverse teams. - Strong organizational skills and attention to detail, with the ability to manage multiple tasks and deadlines. - Demonstrated curiosity and learning mindset, with interest in enterprise data platforms and tools (e.g., Informatica, Profisee, or similar). - Ability to escalate issues appropriately and seek guidance when needed in a fast-paced, client-service environment. Requirements - All offers and/or employment contracts are contingent upon the successful completion of the Firm’s pre-employment screening process. - This process may include verifying the candidate’s identity, confirming legal authorization to work in the offered position’s location, and conducting a comprehensive background check, where permitted by local regulations. - We use limited AI-assisted tools for administrative screening purposes only - never for decision-making. - All hiring decisions are made by people. - Applicants may have rights to information and explanations regarding the use of such tools, or request human review, as required by applicable regional laws.

Role Description Fragomen, an AMLaw 100 Firm and the leading global immigration services provider, is strengthening its enterprise data foundation to enable consistent client delivery, trusted reporting, and scalable automation. We are seeking a senior level leader to advance our Master and Reference Data Management (MDM/RDM) program, with a particular focus on the Service Catalog that defines how we deliver services to clients. As a Senior Business Data Governance Analyst, you will manage the Service Catalog and related master and reference data as governed enterprise data products—establishing standards, enabling stewardship workflows, improving data quality, and driving adoption across regions and teams. Success means a Service Catalog that is trusted, consistently used, and fit for purpose across operations, analytics, and automation. - Evolve our Service Catalog as a product - Assist in defining the catalog’s structure (taxonomy, hierarchy), business definitions, attributes, and metadata - Establish lifecycle management: intake → definition → review/approval → publish → change control/versioning → retirement - Ensure the catalog supports key downstream needs (client delivery, reporting, financial/operational views, automation/AI) - Advance Fragomen’s MDM/RDM program - Drive onboarding and governance for master/reference domains - Define standards for identifiers, naming conventions, hierarchies, relationships, code sets, and controlled vocabularies - Build repeatable operating mechanisms so domains stay healthy and scalable over time - Run stewardship and decision-making at scale - Establish clear roles (data owners, stewards), RACI, decision rights, SLAs, and escalation paths - Lead working sessions and forums to resolve definition disputes, approve changes, and manage backlog/priorities - Partner across business, product, and technology teams to embed stewardship into day-to-day work - Improve data quality within the MDM/RDM domains - Define and track quality KPIs for master/reference data (e.g., completeness, validity, uniqueness, duplication, hierarchy integrity) - Lead issue triage and root-cause remediation with accountable owners - Help shift from reactive clean-up to preventative controls (validation rules, standardized intake, monitoring) - Enable analytics, automation, and integration - Ensure master/reference data is consistent across systems and supports integration patterns and enterprise modeling - Collaborate with data platform and product teams to align the Service Catalog to the enterprise data model, glossary, and metadata tooling - Identify high-value use cases unlocked by trusted service master/reference data and help drive them to delivery Qualifications - 7+ years leading or delivering enterprise data initiatives, with meaningful depth in MDM, reference data and/or data governance operating models - Strong understanding of core MDM/RDM concepts: domain onboarding, stewardship workflows, reference data management, hierarchies, change control/versioning, and quality controls - Demonstrated ability to influence and align diverse stakeholders (operations, regional leaders, product, IT, data teams) and drive adoption and not just documentation - Ability to translate ambiguity into decisions: crisp definitions, clear standards, and a pragmatic roadmap - Comfort working with metadata/catalog and MDM tools (e.g., Informatica, Profisee, or similar) and collaborating closely with technical teams (hands-on configuration experience is a plus, not required) - Excellent written and verbal communication; strong facilitation skills; disciplined program execution in a fast-paced, client-service environment - Ability to prioritize work, manage risk, and escalate issues appropriately in a fast-paced, client service environment. Requirements - Nice to have: Data Analyst skillset including SQL, data visualization tools (e.g. Power BI, Tableau). - Experience defining data quality rules and monitoring frameworks, or embedding validation controls upstream - Familiarity with enterprise data modeling and business glossary/term management - Prior work in professional services, legal, regulated, or multi-region operating environments Benefits - All offers and/or employment contracts are contingent upon the successful completion of the Firm’s pre-employment screening process. - This process may include verifying the candidate’s identity, confirming legal authorization to work in the offered position’s location, and conducting a comprehensive background check, where permitted by local regulations. - We use limited AI-assisted tools for administrative screening purposes only - never for decision-making. All hiring decisions are made by people. - Applicants may have rights to information and explanations regarding the use of such tools, or request human review, as required by applicable regional laws.

Role Description The successful candidate will be aligned with our Finance Operations – Global Accounts Receivable team and will be responsible for accounts receivable, customer queries, and dispute resolution. You will be responsible for Cash Applications where you need to have extensive knowledge and ability to perform day-to-day operations while maintaining SLA’s. Solving queries related to cash applications and coordination with customers is required. You should have an expert (SME) level understanding of the O2C process, specifically the cash application process involving: - Research and application of unapplied cash - Reconciliation of accounts - Processing emails related to remittance advice from customers As part of our commitment to your development, you will also gain exposure in cross-functional and process improvement projects, and your core responsibilities will include: - Ensure timely closure of payments with a high degree of accuracy - Respond to customer queries through call and/or email - Research unapplied payments and work with customers (email/call) to identify the root cause and resolve open issues on account - Provide growth ideas for process standardization and automation through JDI/Kaizen projects - Perform complex reconciliations on customer payments Qualifications - Excellent written and verbal communication skills with a strong customer service focus - Ability to prioritize, multi-task, and work with minimal supervision - Drive for continuous learning and self-development - Flexibility to change as per the changing requirements of the business - Minimum 2 years experience in O2C domain, preferably cash application or collections - Advanced knowledge of Excel – including working with pivot tables & formulas - Flexible to work in night shifts Requirements - Bachelor's degree in accounting and commerce (B. Com) - Knowledge of Excel at an advanced level - Experience with Microsoft Office products and applications Preferred Qualifications - 3+ years of finance operations/shared services, accounts payable, account receivable (collections), or general ledger experience Company Description Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.