Jobs at Datamatics Technologies

Leads organizational change management for a customer data transformation program, driving stakeholder adoption, readiness, communications, training, and data literacy. Delivers governance and data quality training, supports Data Owner and Data Steward onboarding, establishes change champion networks, tracks adoption KPIs, and develops handover, sustainment, and knowledge-transfer materials across large regulated or public-sector organizations.

Leads organizational change, stakeholder adoption, communications, and training for a customer data transformation program. Drives data governance and data quality adoption, supports Data Owner and Data Steward onboarding, develops data literacy and change champion networks, assesses readiness, tracks adoption KPIs, and prepares sustainment, handover, and knowledge-transfer materials for large regulated or public-sector organizations.

Leads healthcare data governance, quality, and readiness initiatives across Abu Dhabi healthcare entities. Defines business terms, critical data elements, data quality rules, authoritative sources, privacy requirements, and KPI definitions. Validates clinical and administrative data, assesses remediation impacts, collaborates with clinical, operational, business, and technical stakeholders, and mentors analysts on healthcare data interpretation.

Provides healthcare domain expertise for data governance, quality, and readiness initiatives. Defines business terms, critical data elements, data quality rules, authoritative sources, privacy requirements, and KPI definitions. Validates clinical and administrative healthcare data, assesses remediation impacts, collaborates with clinical, business, operational, and technical stakeholders, and mentors analysts on healthcare data interpretation.

Provides healthcare domain expertise for data governance, quality, and readiness initiatives. Defines business glossaries, critical data elements, data quality rules, authoritative sources, privacy requirements, and KPI definitions. Validates clinical and administrative healthcare data, assesses remediation impacts, collaborates with clinical, operational, business, and technical stakeholders, and mentors analysts on healthcare data interpretation.

Lead organizational change, stakeholder adoption, communications, and training for a customer data transformation program. Drive data governance and data quality adoption, onboard Data Owners and Stewards, build data literacy and change champion networks, manage readiness and sustainment activities, prepare knowledge-transfer materials, and track adoption KPIs for program leadership.

Provides strategic leadership and accountability for large-scale business and technology transformation programs. Oversees governance, delivery, quality, risks, budgets, resources, vendors, dependencies, and stakeholder engagement across multiple workstreams. Ensures alignment among business, technology, and vendor teams while driving milestones and business outcomes. Produces program roadmaps, executive reporting, steering committee updates, and escalation management.

Manages large-scale business and technology transformation programs across multiple workstreams. Responsibilities include planning schedules, coordinating stakeholders and vendors, tracking risks and dependencies, managing budgets and resources, preparing governance and executive reports, and ensuring successful delivery of milestones. The role requires expertise in SDLC, Agile, Waterfall, and Hybrid methodologies, enterprise applications, integrations, APIs, cloud platforms, data management, and program governance.

Provides strategic leadership and accountability for large-scale programs spanning multiple entities and workstreams. Oversees governance, planning, delivery quality, stakeholder engagement, risks, dependencies, budgets, resources, vendors, and executive escalations. Ensures alignment across business and technology teams and delivers approved milestones, scope, and business outcomes. Requires extensive program or portfolio management experience and expertise in transformation delivery methodologies, enterprise applications, cloud, data, and digital initiatives.

Manages day-to-day planning, governance, coordination, and delivery for large-scale business or technology transformation programs. Oversees schedules, milestones, budgets, resources, risks, issues, dependencies, vendors, and stakeholder expectations. Produces program roadmaps, dashboards, governance reports, and executive updates while coordinating across business and technology teams to ensure successful delivery outcomes.

Designs enterprise data architectures, conceptual, logical, and physical data models, governance frameworks, metadata and lineage processes, data quality and MDM solutions. Architects scalable data lake, warehouse, and lakehouse platforms; leads data integration and ETL/ELT initiatives; evaluates cloud technologies; and ensures security, compliance, scalability, and performance. Collaborates with business, engineering, analytics, and governance stakeholders.

Design and implement enterprise data architectures, modern data platforms, and governance frameworks. Responsibilities include conceptual, logical, and physical data modeling; metadata, lineage, data quality, and master data management; data lake, warehouse, and lakehouse architecture; data integration; and collaboration on cloud-based platforms. The role requires strong SQL and hands-on experience with Informatica IDMC, Microsoft Fabric with Purview, or Databricks, preferably within Azure environments.

Provides strategic leadership and accountability for large-scale business and technology transformation programs. Oversees governance, planning, execution, quality, budgets, risks, dependencies, resources, vendors, and stakeholder engagement across multiple workstreams. Ensures alignment among business, technology, and vendor teams, manages escalations, communicates with executives, and drives delivery of milestones and intended business outcomes.

Lead the design, development, and maintenance of scalable data platforms, pipelines, and integration solutions. Provide technical guidance, optimize data processing and storage, collaborate with stakeholders on data requirements, and enforce data governance, security, and quality standards. The role requires expertise in ETL/ELT, SQL, data warehousing, cloud data platforms, and at least one of Informatica IDMC, Microsoft Fabric with Purview, or Databricks.

Designs, develops, and deploys production-grade AI applications and microservices for data governance, metadata enrichment, profiling, anomaly and duplicate detection, remediation, and automation. Builds machine learning, generative AI, LLM, RAG, and agent-based solutions within sovereign AI environments. Responsibilities include model optimization, API and framework development, security and compliance, CI/CD, testing, documentation, stakeholder collaboration, and production support.

Ensure enterprise data accuracy, completeness, consistency, and reliability by developing data quality rules, controls, standards, and monitoring processes. Perform data profiling, validation, reconciliation, and root cause analysis; resolve quality issues and support remediation. Collaborate with business and technical stakeholders to improve data quality. Track KPIs through scorecards and dashboards, while supporting governance, metadata management, and data lineage initiatives.

Business Analyst translating stakeholder needs into requirements for data governance and analytics initiatives. Responsibilities include defining business terms, critical data elements, ownership, classification, glossaries, semantic mappings, KPIs, data publication requirements, and acceptance criteria. The role collaborates with data engineers, architects, governance teams, and BI developers; supports cataloguing, metadata, modelling, remediation, dashboard validation, UAT, traceability, and stakeholder sign-off.

Lead data engineering initiatives by designing and maintaining scalable data pipelines, integration solutions, data lakes, and warehouses. The role guides team members, optimizes data processing and storage performance, collaborates with stakeholders on data requirements, and enforces governance, security, and quality standards. Required expertise includes ETL/ELT, SQL, cloud data platforms, and at least one of Informatica IDMC, Microsoft Fabric with Purview, or Databricks.

Ensure enterprise data accuracy, completeness, consistency, and reliability by developing data quality rules, controls, and standards. Perform profiling, validation, reconciliation, monitoring, and root cause analysis; resolve quality issues and support remediation. Collaborate with business and technical stakeholders, track quality KPIs, and improve governance, metadata, and lineage practices.

Design and implement enterprise data architectures, modern data platforms, and governance frameworks. Responsibilities include data modeling, metadata and lineage management, data quality, master data management, data lake, warehouse and lakehouse architecture, data integration, and enterprise data strategy. The role requires strong SQL skills, cloud data platform experience, and hands-on expertise with Informatica IDMC, Microsoft Fabric with Purview, or Databricks.