Qualifications: Bachelor Degree
MBA Degree from Tier-1 College (Preferable)
8-12 years of large scale consulting experience and/or working with hi tech companies in data architecture, data governance, information security and information management.
Certified on DAMA (Data Management) or Azure Data Architecture or Google Cloud Data Analytics or AWS Data Analytics
Experience: We are looking for information strategy & data architect having experience with information strategy, data architecture, data governance, information operating model and information security operating across all stages of the innovation spectrum, with a remit to build the future in real-time.
Assessment: Works as part of multi-disciplinary teams and collaborates with designers, other team members to evaluate new IT potential with a focus on data monetization, platforms, customer 360 view and analytics strategy. Align all data and analytics initiatives and investments to meet enterprise objectives.
Strategy: Define data-based strategy for the customer which needs to be aligned to the customer technology landscape. Understand and recommend the end-to-end process for identified data initiatives including requirements, feasibility, validation of data structure, compliance, and monetization.
Design: The Architect s role on these projects centers around Assessment of Information Strategy Maturity, establishing target state Information Architecture and conceptual Data models. Identification of usage of structured/ unstructured data as an asset to create differentiated capabilities.
Governance: Establish framework for effective Data Governance across multispeed implementations. Define data ownership, standards, policies and associated processes
Information operating model: Define an operating model to manage data across organization. Establish processes around effective data management ensuring Data Quality & Governance standards as well as roles for Data Stewards
Cloud Savvy - Know-how of Data applications and Data lake Implementations on Cloud using popular platforms like MS Azure / Google Cloud / AWS.
The Data Architect should have practical industry expertise. The areas of Financial Services, Retail, consumer goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources are of interest but experience in equivalent domains is also welcomed. Architect should understand the key technology trends in their domain and the related business implications
Experience in leading consulting engagements with large clients preferable