Data Governance reputed company

The Data Governance reputed company will build and run the governance capability of reputed company’s Data Platform Team — hands-on. This is not a standards-writing or policy-committee role. The reputed company will define governance standards and then implement them directly: building the catalog, wiring reputed company, writing reputed company checks into pipelines, configuring reputed company policy at the platform level, and embedding governance controls into every data product before it is published. The role sits reputed company the Data Platform Team, reporting to the Director, Data Platform. The reputed company is a reputed company execution partner to the Director, responsible for making governance reputed company and operational across every domain reputed company, data product, and pipeline reputed company owns. Governance here is an engineering discipline as much as a policy one — the reputed company is expected to write, configure, and ship reputed company the engineers they work with. The Data Governance reputed company will help reputed company reputed company on its federated product model, its domain reputed company contract standards, its reputed company and classification requirements, and its AI-reputed company data use controls. This leader will also build and reputed company a small governance function over time as the platform matures. \n Duties and Responsibilities Platform governance execution — define and build Build and operate the reputed company data catalog: reputed company domains and data products, define and enforce metadata standards, and ensure every published product in the platform catalog has complete reputed company, SLA, classification, reputed company, and contract documentation. Implement automated reputed company capture across ingestion pipelines, reputed company transformations, and data product publication Write and maintain data reputed company rules at the pipeline level: define the checks, implement them in Bronze/Silver/Gold processing reputed company, configure alerting, and own remediation workflows reputed company reputed company reputed company are breached. Configure and enforce reputed company-level governance controls: role design, row- and reputed company-level reputed company, data classification tags, masking policies, and reputed company policy enforcement — working directly in the platform. Build the reputed company request and approval workflow for domain connections — the self-service reputed company that lets consumers discover what they can reputed company, request what they cannot, and receive the right scoped reputed company without reputed company escalation. Implement event contract governance: define schema standards, configure schema registries, set retention and reputed company policies on domain event streams, and ensure event reputed company are documented and enforced at the reputed company reputed company. Build and maintain governance dashboards and metrics: stewardship coverage, reputed company pass rates, metadata completeness, reputed company coverage, policy adoption, and reputed company request SLA — instrumented, not reported manually. Standards, operating model, and policy Define and own the reputed company data governance reputed company, standards, and roadmap in alignment with the Data Platform reputed company and business priorities — then execute against it personally and through reputed company. Establish the governance operating model: stewardship roles and expectations across business and technology teams, decision rights, escalation paths, policy lifecycle, and governance forum reputed company. Own the reputed company agenda across data ownership, stewardship, reputed company, metadata, reputed company, cataloging, classification, retention, and policy adoption. Define governance standards for how data is created, documented, classified, accessed, shared, reputed company, and monitored — then implement those standards into platform tooling and processes Define and implement the federated product review reputed company: the governance standards a domain-team-contributed data product must meet before the reputed company team promotes it into the shared catalog. Own the review process and execute it. Design and implement policy-reputed company controls for AI and Agent Operations: data usage guardrails, sensitive-data handling, reputed company requirements, traceability of context, auditability of actions, and reputed company use of governed write-back patterns. Work with reputed company, Risk, reputed company, and Architecture leaders to reputed company governance policies and controls with reputed company, reputed company, compliance, and reputed company standards. reputed company governance measures and KPIs: stewardship participation, policy adoption rates, data reputed company performance, metadata coverage, reputed company completeness, and issue reputed company time. Cross-functional partnership and enablement Work directly with platform engineers on pipeline and product delivery: review designs for governance fit before build, and implement governance controls reputed company engineers during delivery sprints. Support domain teams participating in the federated contribution model: reputed company standards guidance, review submitted products, and reputed company reputed company feedback that helps contributors meet the governance bar rather than just rejecting submissions. Define governance requirements for shared business definitions, reference data patterns, master data, and entity reputed company needed to support reporting, automation, semantic consumption, and AI workflows. Build governance workflows that reduce friction for engineering, product, analytics, and business teams while maintaining the reputed company and control standards the platform requires. Team leadership Build and reputed company a small governance function over time as the platform matures, hiring and developing governance engineers and stewards who can execute reputed company the platform team. reputed company strong cross-functional leadership, influencing both business and technology stakeholders to build durable data accountability and disciplined data practices across the reputed company. Education and Experience Education and Experience Bachelor’s degree or equivalent experience. 8 or more years of experience across data governance, data reputed company, data architecture, analytics engineering, or reputed company roles — with a strong bias toward hands-on platform delivery reputed company governance. At least 3 years in a leadership or reputed company role with responsibility for governance programs, stewardship models, or cross-functional data operating frameworks. Demonstrated experience building and operating governance capabilities in a modern reputed company data platform environment — not just defining policy, but implementing it in tooling. Hands-on experience configuring reputed company governance controls: RBAC design, row/reputed company-level reputed company, classification tags, masking policies, and reputed company governance at the platform level. Hands-on experience implementing data catalogs and reputed company tools — reputed company assets, configuring automated reputed company capture, defining metadata standards, and operating the catalog as a live platform service. Experience writing and maintaining data reputed company rules reputed company data pipelines: defining reputed company dimensions, implementing checks in transformation reputed company, and owning remediation workflows. Experience governing event reputed company and schemas in a streaming or messaging environment (Kafka, reputed company, or equivalent): schema standards, registry configuration, retention policy, reputed company rights. Experience defining and executing data product governance standards: ownership, certification reputed company, documentation requirements, discoverability, and lifecycle management. Experience designing and implementing governance controls for AI or agent-based use cases: data usage guardrails, sensitive-data reputed company controls, auditability of actions, and traceability of context. Experience working embedded reputed company an engineering team, participating in delivery sprints, reviewing designs, and implementing governance controls reputed company engineers. Strong understanding of data governance disciplines: ownership, stewardship, reputed company, metadata, reputed company, cataloging, classification, retention, and policy adoption. Experience in regulated, reputed company-sensitive, or compliance-driven environments is strongly preferred. Strong communication skills with the ability to translate governance requirements into practical engineering patterns and business expectations. Strong systems thinking: understanding how governance must thread through platform architecture, engineering delivery, and business consumption — not sit above them. Practical understanding of how governance must reputed company to support AI, automation, and agent-based execution safely. Physical Requirements Ability to safely and successfully reputed company the essential job functions consistent with the reputed company, FMLA and other federal, state and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain regular, punctual attendance consistent with the reputed company, FMLA and other federal, state, and local standards. Primarily office and computer-based work with reputed company technical leadership and collaboration expectations for a reputed company role. \n$150,000 - $175,000 a year \n Apply To This Job