Endava
Information Technology And Services
DataManager
Neural analysis suggests this role is
optimal for mid candidates.
“Data Manager at Endava. Skills: Data governance, Data product ownership, BigQuery, SQL. Design finance data products. Deliver finance data products”
Industry & Context.
Analytical skills; Data-driven decisions
What They're Looking For.
Must Have
Data governance, Data product ownership, Data stewardship, Collibra Catalog, Collibra Workflow, Metadata management, Business glossary, Data quality rules, Lineage, Stakeholder management, SQL queries, Databases, dbt, Big Query, Data Mesh, Domain oriented architectures, Dimensional Modelling, Looker, Power BI, Excel, Analytical skills, Adaptability, Business acumen, Data Governance, Data Management concepts, CDMC controls, Data Quality Management, Agile delivery frameworks, JIRA, Confluence, Multi-disciplinary teams, Communication, Stakeholder management
Nice to Have
BigQuery understanding, Dataplex, Power BI reporting awareness, Asset management domain, Regulatory data governance, Agile, Scrum teams, Iterative delivery
What You'll Do.
Design finance data products
Deliver finance data products
Maintain finance data products
Prototype data models
Embed governance practices
Collaborate with business leaders
Collaborate with engineers
Deliver ethical data products
Deliver actionable data products
Document functional requirements
Document non-functional requirements
Define data governance policies
Enforce data governance policies
Define data classification
Define data ownership
Define access management frameworks
Produce Data Lineage artifacts
Produce Data Dictionary artifacts
Produce Data Mapping artifacts
Produce Data Classification labels
Produce Data Ownership assignments
How You'll Work.
Team & Collaboration
Partner with global D3E team members; Collaborate closely with business leaders; Collaborate closely with engineers; Collaborating effectively in multi-disciplinary teams; Partnering closely with internal teams
Communication Scope
Communication; Stakeholder management
Process & Methodology
Agile delivery frameworks, Delivery management, Documentation
Full Job Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Role: Data Manager Role Overview and Expected Deliverables Data Manager (DM) partner with global D3E team members to design, deliver, and maintain well‑governed finance data products that support fund management operations. Leveraging Macquarie’s Big Query data platform, DM will define and prototype fit‑for‑purpose data models while embedding strong documentation, data quality, and governance practices into data pipelines. DM will collaborate closely with business leaders and engineers to deliver secure, ethical, and actionable data products aligned to business needs. DM will be responsible in documenting both functional and non functional requirements for the delivery of Data Products. DM will be responsible to define & enforce the Data governance policies for the Data Products including defining data classification, data ownership and access management frameworks DM will be responsible to produce artifacts for Data Lineage, Data Dictionary, Data Mapping, Data Classification labels and Data Ownership assignments ## Qualifications Must have skills Data governance, data product ownership, data stewardship, Collibra Catalog, Collibra Workflow, metadata management, business glossary, data quality rules, lineage, stakeholder management Good to have skills BigQuery understanding, Dataplex, Power BI reporting awareness, asset management domain, regulatory data governance Core Requirements • Good understanding of finance business systems or processes including fund management, fund accoun
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