Sr. Product Manager, Data(J93787)

Primary Purpose and Job Scope

Data Engineer is accountable for delivering across the enterprise which includes both Customer facing, Retail and Corporate Level. The functional areas include Financial Planning & Analysis, Operation Service, Digital Venture, PRO etc. You will work on items driven by business priorities and values to intake and make a step change in the data & analytics space to bring about deep analytical insights on data thereby supporting the business growth agenda.

Key Accountabilities

This is very hands-on role which includes developing & delivering code through from origin to production, plus working in partnership with 3rd party development service providers to help ensure that code comes in on time, to quality and in line with the overall ecosystem being established. The Data engineer will directly contribute to the extensive and varied build and deployment activities involved in establishing the new platform then continue to work on the already significant and growing pipeline of future build-outs on the platform. As a Data Engineer your role will include responsibilities for:

◆Development: Hands on, delivery expected as a matter of course

◆Delivery: Ensure project goals are achieved on time in alignment with the stakeholders’ expectation. Ability to work on complex projects and in a distributed environment. Escalate to other Data & Analytics leadership team when needing support. Work in close collaboration with other team members in the BI and Data services team, to ensure Development/Delivery aspects are well represented in the project’s requirements and deliverables.

◆Methodology: . Incorporate agile ways of working into the delivery process to show value periodically. Individuals will work as part of product-centric delivery team(s) that will focus on delivering value independently while fully embracing integrated DevOps approaches.

◆Ownership: Take ownership for the delivery/development projects and help steer until completion.

◆Partnering: Work when required with external and/or internal delivery agents to coordinate delivery.

◆Governance: Follow governance that allows projects and stakeholders to manage overall project performance

◆Reporting: Support the routine reporting.

◆Forward looking: Remain flexible towards technology approaches to ensure that the best advantage is being taken of new technologies. Keep abreast of industry developments in analytics and be able to interpret how these would impact services and present new opportunities.

Requirements

You will be working on fully up to date technologies in the Data & Analytics environment and in a team, which is fully committed to remain at the leading edge of this skillset. Therefore, the impetus to keep improving skills and acquiring skillsets in new technologies will be very strong. If you are a top-flight developer who wants to continue to keep learning and remain at the cutting edge of the very fast-moving Data Analytics technology environment, then this role is for you.

Summary of Experience

◆MS/BS degree in Computer Science, Engineering, Design or equivalent experience, with weighting on experience and proven track record preferred. Ideal candidate would have built an impressive hands-on career to date in an advanced, recognized and innovative environment around Data & Analytics.

◆Excellent development skills of SQL is a must and have some deep knowledge in any kinds of database, including traditional database, noSql database, NewSql database.

◆Experience in or equivalent BI tools, like MS Cube, Kyligence, Power BI, Tableau, Quick BI etc.

◆Experience in development of data integration including ETL, Job Scheduling, Data quality monitoring and verification with tools some like, datapipeline, Kettle, Azkaban, Airflow etc

◆Experience in technology of analytics and/or big data solutions and delivery/development of such solutions.

◆Experience in development on the Ali data middle layer platform and be familiar with dataphine, maxcomputer etc

◆Fully conversant with big-data processing approaches and “schema-on-read” methodologies is a plus.

◆Being conversant with and qualified in Data Science and Machine Learning approaches will put you at a significant advantage and position you well to deliver on the future pipeline of work.

◆Ability to work in close partnership with other IT functions such as IT security, compliance, infrastructure, etc. as well as partner closely with business stakeholders in the commercial and digital organizations.

◆Track record in demonstrating successful execution of Data Analytics and BI program in 2 or 3 functional areas viz., Sales /Commercial Excellence, Finance, Operation Service Marketing & Category domain areas

◆Fully conversant with agile and DevOps development methodology and concepts.

◆Great communication skills and ability to communicate inherently complicated technical concepts to non-technical stakeholders.