Manager - Data Engineering | LiftCenter | 10-18 years
LiftCenter
Kumbalgodu, Karnataka 560074, India
6d ago

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

Value index survey

Ensure effective communication (progress updates, risks etc.) on projects to all relevant stakeholders

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