Lead Data Analyst

Hi , Akkodis is seeking a Data Domain Governance Lead with a client in Charlotte, NC. Ideally, we are looking for candidates with strong experience with Data Lineage experience, cataloging, data classification channels, tools. Pay Range: $45-$47/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Full JD:: Role Overview: The Data Domain Governance Lead is responsible for embedding robust data governance practices across Agile delivery teams within banking domain. Operating within a SAFe Agile framework, this role ensures that data standards, models, lineage, privacy, and controls are consistently applied across delivery pipelines. The successful candidate will bring deep expertise in data architecture, metadata management, privacy compliance, and data quality, enabling scalable and audit-ready data ecosystems. Overall Function: Lead as Domain Data SME, guiding teams on data model standards and ensuring governance hile advancing metadata management and data quality standards. Handle data and analyze it and understand data transformations Capturing data through multiple systems, how it is implemented. Holistic understanding of enterprise data governance processes/policies and to see how they fit into the applications internally. Must have: Data Lineage experience, cataloging, data classification channels, tools. Didn't mention any specific lineage tools so we should be fine on any that are listed in the JD. Key Responsibilities: Portfolio & Program Alignment Ensure governance guardrails are considered during PI Planning and reflected in Agile Features. Act as a System Architect and Shared Services SME to support Agile Release Trains (ARTs) in embedding governance principles. Provide expert guidance to Agile Teams on integrating data governance into delivery workflows and feature design. Canonical Data Models & Standards Collaborate with Business and Source of Record (SOR) stakeholders to define and maintain domain-level canonical (conceptual) data models. Review metadata/catalogue entries to ensure critical datasets have clear ownership, lineage, and business semantics. Support Agile Teams in applying consistent data modelling practices and semantic layer alignment. Data Quality & Controls Translate EDM policies into domain-specific rules and acceptance criteria. Partner with delivery teams to embed automated data quality checks and validation rules into data pipelines. Ensure Features include required data quality controls; contribute to Definition of Done and acceptance criteria. Metadata, Lineage & Privacy Governance Guide Agile Teams in embedding lineage capture and metadata tagging within delivery pipelines using modern tooling (e.g., Collibra, Informatica, Alation). Ensure consistent application of metadata standards and lineage tracking across domains. Oversee PII and sensitive data classification, labelling, and handling in accordance with data privacy regulations. Define and enforce archival and retention policies for domain data assets, ensuring compliance and operational efficiency. Audit Insights & Continuous Improvement Analyse audit findings and feedback to identify gaps and improvement opportunities in data governance practices. Strengthen domain-level data controls and quality frameworks based on audit insights. Required Skills & Experience: Strong understanding of Treasury and/or Corporate Banking domains, including products, processes, and regulatory requirements. Advanced data modelling expertise, including: o Designing conceptual, logical, and physical models for complex financial domains. o Applying semantic modelling for BI and analytics. o Knowledge of normalization, denormalization, and performance optimization. Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent. Strong background in enterprise data architecture. Hands-on experience with metadata and lineage tools such as Collibra, Informatica Enterprise Data Catalog, Alation, Microsoft Purview Deep understanding of data privacy regulations and compliance standards and local banking regulations. Experience implementing PII classification, data sensitivity labelling, and access controls using tools Knowledge of data archival and retention policies relevant to financial records and audit trails. Experience defining and implementing automated data quality rules and controls for datasets. Preferred Qualifications: Experience implementing industry-standard data governance frameworks such as DAMA-DMBOK, DCAM, and COBIT. Experience in large-scale financial institutions or treasury functions. Knowledge of data vault modelling and graph modelling for advanced use cases. Familiarity with data observability tools and practices to monitor data health, lineage, and reliability across pipelines. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance