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<div class="section page-centered" data-qa="job-description"><div><b>Data Engineering Manager</b></div><div><b>Job   Summary</b></div><div>This   position is responsible for the delivery and execution of projects and   initiatives under the Future Finance Program (FFP). The FFP is a Group driven   program and aims to modernize Prudential’s Finance function by strengthening   Finance &amp; Actuarial capabilities through enhanced data and improved   systems. The FFP will be the mechanism to transform the role of Finance within   the organization.</div><div>&nbsp;</div><div>The   role will work closely with FFP Technical Delivery Lead, Workstream Product   Owners for Data, Actuarial. Accounting and MIS, for successfully delivering the   Data related parts of the FFP project, including the Financial Data Repository   (FDR) &amp; application integration. The role involves coordination of the   day-to-day activities, support on the prioritization of the   requirements/backlog as well as support on the strategic planning.</div><div>&nbsp;</div><div>The   role will require experience in the data platform solution &amp; integration implementation   for applications within Financial domains including FDR, Oracle ERP   (accounting), Coupa (Expenses), Workday (payroll) &amp; actuarial. The FDR provides   the logical “single source of truth” for all financial and actuarial data   needs required for the Finance (FFP). This data architecture needs to be   secure, resilient, accurate, timely, scalable &amp; cost efficient.</div><div>&nbsp;</div><div><b>&nbsp;JOB   DESCRIPTION</b></div><div>Role and Responsibilities</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Be responsible for the implementation of the FDR and   other Data products as defined by business owner and tech product owner.</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Lead the Data delivery team in the planning and   implementing the FDR and other Data products as per defined timelines &amp;   Prudential Engineering framework &amp; policies and transition to Run team   post go-live</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Work in close collaboration with project sponsors and   stakeholders to ensure appropriate definition of project goals, deliverables,   and acceptance criteria</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Coordinate interactions with the business   platforms/entities</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Day-to-day coordination on progress, prioritization   and problem solving with the Data implementation team. </div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Provide timely and concise updates to Finance GTP   (Global Tech Product) Owner and inputs to the governance committees.</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Support the process of documenting business   requirements/user stories from stakeholders.</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Support prioritization of the requirements   catalogue/user story backlog</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Ensure good level of both technical   &amp; functional documentation for knowledge management &amp; communications   for within Engineering &amp; Finance GTP </div><div><b>Qualifications</b></div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience Level: Minimum 10+ years of relevant   experience in IT implementation for Finance domain (MIS, Accounting &amp;   Actuarial)</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Education Level: Bachelor's degree in Computer   Science, Data Engineering, or related field (Master's degree preferred).</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Personal Attributes: Strong   analytical skills, leadership capabilities, effective communication, and   problem-solving ability</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Specific Skills: Deep technical   knowledge in data engineering, database management and data warehousing   technologies. (e.g. SQL, Python, Spark, Azure stack, Databricks)</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Strong Data modeling and managing   Distributed Computing Platforms for Data Processing, with understanding of   frameworks like Hadoop, Spark, or Flink. </div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Advance knowledge of SQL and writing   resource-efficient queries</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>High expertise with data integration   tools, data pipeline orchestration tools, and workflow management systems</div><div><b>Mandatory skills</b></div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Strong background in data   engineering, with experience architecting complex data systems in large-scale   environments for Financial domain (Accounting, MIS, Actuarial)</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience in successful delivery of   complex finance data related projects end to end</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience in Agile and DevSecOps   delivery, quality practices, techniques, test automation and tools required   for all aspect of data engineering/ data platforms</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience with cloud-based   technologies incl. Microsoft Azure, Databricks, Delta Lake</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience in data ingestion tools of   CDC, ADF and Qlik Replicate</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience in adoption of data   governance frameworks using Collibra and Unity Catalog</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience with JIRA, Confluence,   Github, Bitbucket and other similar developer tools</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;   </span>Experience in using PowerBI for data visualization and   analytics, supporting a data-enabled organization</div><div><b>Preferred skills</b>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</span></div><div>&nbsp;<span style="font-size: 7pt;">&nbsp;</span>Excellent problem-solving and troubleshooting skills</div><div>·<span style="font-size: 7pt;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span>Strong communication and collaboration skills</div></div>undefinedundefinedundefined

Data Engineering manager / Delivery Manager