Join Pen as a Data Governance Specialist, responsible for maintaining data quality, governance processes, and reporting capabilities across the business. You will support data stewardship, monitor data integrity, manage governance artefacts, and deliver reporting solutions that enable accurate, trusted, and compliant business data.
Responsibilities
Monitor data quality and maintain governance controls
Produce exception reporting, dashboards, and data reconciliations
Maintain the data dictionary, business glossary, and data lineage documentation
Log, track, and coordinate resolution of data issues
Support data stewards through training, guidance, and governance documentation
Lead engineering teams effectively, fostering a collaborative and high-performance culture to achieve project goals and meet organizational objectives.
Oversee timelines, team allocation, risk management and task prioritization to ensure the successful delivery of solutions within scope, time, and budget.
Mentor and support team members' professional growth, conduct performance reviews, provide actionable feedback, and identify opportunities for improvement.
Evaluation and enhancement of engineering processes, tools, and methodologies to increase efficiency, streamline workflows, and optimize team productivity.
Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
The role involves maintaining the integrity and accuracy of operational reference data, managing, validating, and optimizing data across systems to meet quality standards and support business operations.
Responsibilities
Maintain and manage operational reference data across multiple systems and databases, ensuring consistency and accuracy
Perform comprehensive data quality assurance and validation checks to identify and rectify discrepancies
Analyse data issues and implement corrective actions to resolve data anomalies and inconsistencies
Document data processes, procedures, and governance standards to ensure organisational compliance
Collaborate with cross-functional stakeholders to understand data requirements and support system enhancements
Requirements
Matric
Diploma
Degree
Postgraduate qualification in Data Analytics, Finance, Risk Management, or Business Analytics
Seeking an experienced data governance professional to build and scale governance frameworks across enterprise customer data, focusing on data quality, metadata, catalog management, lineage, consent and privacy.
Compensation
the recruiting pay range for this position is $90,000 - $100,000
Responsibilities
Lead the design, implementation and continuous improvement of data governance frameworks across data domains
Define and operationalize standards, processes and documentation for data quality, metadata, cataloging, lineage, stewardship and policy adherence
Partner with legal, technology, marketing, digital product and analytics teams to align governance priorities and embed governance requirements into day-to-day execution
Support the development and adoption of data quality practices, including issue identification, ownership, remediation workflows and control alignment
Drive metadata and catalog management efforts by establishing data definitions, critical data elements, ownership expectations and documentation standards
Lead master data management initiatives for SAP S4 HANA and Salesforce implementations, overseeing data governance, migration, and MDM solutions across the organization.
Compensation
Competitive salary and benefits package.
Responsibilities
Collaborate with Data Lead to support SAP S4 HANA rollout
Provide technical guidance and mentorship to Master Data Stewards
Lead the strategic design and governance of enterprise data landscape for a utilities client, owning data architecture, standards, and governance across Oracle on‑premise platforms.
Compensation
W2 Hourly Pay rate range: ($85-100/hr Depending on experience)
Responsibilities
Define enterprise data architecture strategy and target-state models
Establish enterprise-wide data modeling standards and governance policies
Own and maintain the enterprise Erwin model repository
Partner with stakeholders to translate business strategy into long-term data architecture roadmap
Evaluate and architect for scalability, performance, and maintainability of large Oracle databases
The Data Architect defines and governs the enterprise data architecture for a modern Azure-based platform integrating Avatar, Salesforce, and financial systems. This role establishes a scalable, consistent, and governed data ecosystem aligned with business and regulatory requirements. A critical responsibility is reverse engineering the Avatar NX EHR data model, due to limited vendor documentation, to enable accurate integration, reporting, and long-term data governance.
Compensation
$140,000- $160,000 commensurate with experience
Responsibilities
Design end-to-end Azure data architecture (ingestion, staging, curated, reporting layers)
Define enterprise data domains (Clinical, RCM, CRM, Finance)
Establish canonical data models (e.g., Patient, Encounter, Claim, Revenue)
Reverse engineer and document the Avatar NX data model, including table structures, relationships, and data flows
Enterprise ERDs and logical models
Requirements
Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field
The Data Architect defines and governs the enterprise data architecture for a modern Azure-based platform integrating Avatar NX, Salesforce, and financial systems. This role establishes a scalable, consistent, and governed data ecosystem aligned with business and regulatory requirements.
Compensation
$140,000- $160,000 commensurate with experience
Responsibilities
Design end-to-end Azure data architecture (ingestion, staging, curated, reporting layers)
Define enterprise data domains (Clinical, RCM, CRM, Finance)
Establish canonical data models (e.g., Patient, Encounter, Claim, Revenue)
Reverse engineer and document the Avatar NX data model, including table structures, relationships, and data flows
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