Senior Manager

  • Delhi, delhi
  • Confidential
  • 5-10 years
  • Views
  • 24 Jan 2018

  • IT/ Information Technology

  • Banking - Retail
Job Description

Objectives : 1. Achieve excellence in data architecture and engineering consulting engagements 2. Support successful sales, pre-sales and marketing activities 3. Support excellent relationships with technology partners Responsibilities : Delivery : - Take lead during data architecture and engineering consulting engagements - Develop and execute programme / project delivery plans for implementation of solutions - Understand how people, process, technology and data work in concert forming operating models to enable data science teams - Assist to identify opportunities for on-sell opportunities during consulting engagements Business Development : - Support responses to RFI/Qs from clients - Support pre-sales activities with clients - Develop proposed data architectures and operating models to meet client requirements - Estimate effort and costs in delivering required data operating model for clients - Assist in determining where partner solutions overlap with client requirements Data architecture and engineering : - Stay abreast of technology products / services in the data and analytics space - Advise delivery teams how best to deploy solutions - Develop working prototypes in lab or cloud infrastructures - Develop white papers and other thought leadership Key Skills : Delivery : - Project and programme management - Architecture and implementation - Service Management - Influencing skills (managing client and leadership in technical decisions) - Explaining very technical topics to non-technical audiences Technology and methodologies - Cloud implementation of data solutions (Google, AWS, Azure) - Big data platforms - MapR, Hadoop (HortonWorks / Cloudera) - Data Governance and Management platforms (Informatica, Collibra) - Analytics tools (SAS, Tableau, Python) - Graph and No-SQL databases (MongoDB, etc) Data models - Relational, graph and semantic data modelling (appreciation for all, with deep knowledge in one) - Relational data base and warehouse design - Information flow analysis (requirements, KRIs/KPIs, DQ controls, etc) - FIBO (Financial Information Business Ontology) Industry - Retail, commercial or investment banking experience essential - Appreciation of Financial Services / banking risk management frameworks and compliance needs . - Appreciation for risk data architecture (credit, operational, compliance, etc)

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