Role : Sr Solution Architect Data & AI
Experience : 18 Years
Relevant Experience : 10 Years
Certifications:
Google Professional Data Engineer or Google Professional Machine Learning Engineer
Job description:
810 years of experience in Data Analytics and AI/ ML
Established expertise in Data engineering AI/ML Analytics technical and solutioning capability.
5 years of Leadership role experience in a technology service/product company in AI/ML and data analytics.
Experienced in delivering 45 Medium to Big Enterprise Analytics products to market
Prior Experience of working in Product manager capacity in AI/ML and data analytics area.
Experience of converting business problems into analytics solutions and bringing new sales opportunities.
Lead and develop a team of data analysts data engineers and Machine Learning engineers and researchers to develop analytical solutions
Solid experience in developing and building AI/ ML models for different industry verticals (Finance/ Insurance/ Automobile/ Telecom etc)
Prior experience of Software development and familiarity with business intelligence tools (e.g. Tableau SAS Data Studio Looker)
Expert knowledge in multiple Cloud platforms (AWS Azure GCP) of which GCP is must.
Problem Solving aptitude and focus on Standardization.
Experience Engaging with prospects/clients/sales to develop and convert new business opportunities.
Capability development of technical experts within and outside the Practice.
Selfmotivated proactive and comfortable working in a crossfunctional setting while inspiring the same in the team.
Conceive create and deliver value propositions and solutions for taking to market.
Excellent written and communication skills as the candidate is meant to interact with multiple departments aiding them in the proper application and effectiveness of data analysis.
Skills:
Strategic Planning and Direction
Product & Program Management
Maintain architecture principles guidelines and standards
Experience with Database DWH and Data Engineering Solutions
Data Analytics & AI/ML
Technology Domains :
Experience in designing & implementing solution in mentioned areas:
AI/ML Data Analytics Data Engineering on Google Cloud Platform.
aiml,gcp,ml,maintain architecture principles, guidelines and standards,data analytics & ai/ml,product & program management,strategic planning and direction,looker,experience with database, dwh and data engineering solutions,coe,data engineering,data studio,tableau,data analytics