We are looking for a senior Data Solutions & Analytics leader to own end-to-end data capabilities across multiple client accounts. The role requires a robust combination of data architecture, engineering, analytics, delivery leadership, client management, and pre-sales/solutioning experience.

Key Responsibilities

- Own end-to-end Data & Analytics capabilities across multiple client accounts.
- Define data strategy, architecture, modernization roadmaps, governance, and cloud data platforms.
- Lead multi-client delivery covering data engineering, architecture, BI, analytics, and AI/ML enablement.
- Manage executive-level client relationships, steering committees, escalations, SLAs, and delivery governance.
- Drive account growth, proposals, RFPs, solutioning, upsell/cross-sell opportunities, and new business.
- Architect solutions across data ingestion, ETL/ELT, lake/warehouse/lakehouse, governance, semantic layer, BI, and AI/ML.
- Lead, mentor, and scale multi-disciplinary data teams across multiple engagements.
- Own portfolio health, resource planning, quality, timelines, delivery risks, and value realization.

Required Skills & Experience

- 14+ years of experience in Data Engineering, Data Architecture, Analytics, and Delivery/Account Leadership.
- Strong hands-on expertise in SQL, Python, ETL/ELT Alteryx, Informatica, ADF, dbt.




- Experience with Azure/AWS/GCP and platforms such as Snowflake, Databricks, Synapse, Redshift, or BigQuery.
- Strong knowledge of Data Lake, Data Warehouse, Lakehouse, CDM, Data Governance, and Data Catalog.
- Experience with Collibra, Microsoft Purview, or Alation.
- Strong BI/Analytics experience with Power BI, Tableau, or Qlik.
- Proven experience managing multiple client accounts / portfolios and large-scale data transformation programs.
- Strong pre-sales, solutioning, proposal, RFP, and commercial/delivery model experience.
- Excellent C-level stakeholder management, communication, and executive presentation skills.
- Strong people leadership experience managing and scaling data architects, engineers, BI developers, and analysts.

Preferred

- BFSI domain experience, including regulatory/risk reporting, core banking data, BCBS 239, Basel, or CCAR.
- Experience in consulting / IT services / system integrator / professional services environments.
- Bachelor's/Master's degree in Computer Science, Engineering, Data/Information Systems, or related field; MBA is a plus.
- Azure/AWS/GCP, TOGAF, DAMA/CDMP certifications are preferred.
- Exposure to GenAI/LLM-driven analytics and AI strategy in regulated industries.

📌 AVP / Director Data Solutions & Analytics (Noida)
🏢 NLB Services
📍 Noida