BI Data Analytics

• Client facing leadership role that helps in Azure Migration Solution Development and delivery through following: leads Migration Platform solution for multi-cloud environment s.t. • • • Cloud, • • • Cloud Private, AWS, Azure based Client priorities and business benefits. • Leads migration solution for hybrid cloud platform (on-prem, off-prem, dedicated cloud) with Client representatives ( Client consultants, CIO office, Client SME, Client Program management). • Leads the team to build Migration strategy-based Value vs. effort and prepare cost-benefit model and inputs to ROI analysis. • Leads the team and discuss with Migration vendors/partners solution-based tools/vendors specialties (what vendor/tool, when, why, benefits). • Significant contributor to Migration methodology and capable of method tailoring as Client environment and Client industry. • Significant contributor in Migration Solution Design by Effort estimation, costing, staffing, Client negotiations, Orals, tailoring solution as per Client budgetary guideline (Solution to Price and not Price to Win). • Capable of lead the discussion on Migration solution priorities to benefit Clients through minimum marketable product (MP). • Has experience in migrating workloads (apps/databases) from on-premises to Azure. • Good knowledge in Azure Migrate, Azure Site Recovery Service and other migration tools. • Experience in establishing connectivity between on-premise and Cloud networks. Experience: 6–10 years in Data/BI Analytics with exposure to enterprise and financial data ecosystems. Technical Expertise: Skilled in requirements gathering, data mapping, and translating business rules into FSD/TSD deliverables. Core Skills: Collaborates with engineering and business teams to define, validate, and test transformation logic and reporting outputs. Data Knowledge: Deep understanding of CDP (Consumable Data Product) design, data lineage, and reporting workflows. Nice to have skills: Preferred: Experience with SAP data elements, Agile story writing, ADO-based tracking, and functional/UAT testing of data flows.