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Manager - Data Engineering | X Marks The Spot | 10-18 years

Zoek Pin Nelamangala Town, Karnataka 562123, India

Permanent (Full time)

About the Job
A great opportunity for a Data Engineering Manager to join the team leading technological innovation at a Fortune 500 company. With over 50 years of experience in the Retail industry, the company offers great value products across apparel and general merchandise. Join a growing business delivering incredible results through innovation in IT, Inventory, Analytics, and Finance. Work in an environment that is highly supportive, collaborative, and encourages innovation.
As a Data Engineering Manager, you will build and grow a high performing data engineering team, delivering a state of the art, platform to cater to data and analytic needs of the organization. You will be responsible for providing technical & thought leadership on all aspects of data platform including technical recommendations, development of the platform, and construction. And assist data platform vision with input into strategy and delivery of self-service, automated data services platform
Role & Responsibilities
Business Engagement:
Build strong partnerships & relationships with business and other technology teams
Successfully partner with the business to drive growth, improve customer experience and cost optimizations by use of analytics
Revenue growth attributed to data, insights & analytical efforts
Revenue growth attributed to data, insights & analytical efforts
Customer experience improvement
Cost savings through use of data platform
Ensure successful deployment of data products & solutions
Development delivery & Operations:
Manage a team of technical experts to design and implement robust data solutions in alignment with the project schedule
Timely delivery of approved solutions with minimum defects in production
Timely delivery of approved solutions with minimum defects in production
Build a high performing org with a high level of engagement and low attrition
Ensure team follows Coding and testing standards as per established and changing trends in the industry, and promote high standards of documentation on data systems and availability via Company portal, collaboration tools
Ensure data security, data quality is part and parcel of all development deliverables
Champions change management
Follow and practice DevOps mindset
Peer and customer feedback
Line manager observations
Data Governance:
Work with Business and Application teams across brands to solve for Data Quality, Master data management, Data Security and Metadata management
Improvements in Quality of data in data platforms and enterprise systems across brands
Mastering of Product, Customer, Supplier and other master data across brands
Security of data in data platforms
Enriched Metadata to help with data discovery and exploration of data in data platforms
Line manager observations Data platform stakeholders
Communication:
Prepare and lead effective presentations to senior business stakeholders
Stakeholder feedback
Value index survey
Ensure effective communication (progress updates, risks etc.) on projects to all relevant stakeholders

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