AI Data Specialist

JOB SUMMARY The Data & Analytics Delivery Consultant leads end-to-end data programs, delivering scalable cloud-based data platforms. This role aligns business strategy with data-driven solutions, ensuring successful execution through strong delivery governance, stakeholder engagement, and technical leadership. The consultant will be responsible for the full lifecycle of data initiatives, from design and development to implementation and governance. Key Responsibilities Lead the design, development, and delivery of data and analytics solutions aligned with business objectives. Define data adoption roadmaps including use cases such as reporting, forecasting, and operational optimization. Translate business requirements into scalable data architectures. Manage full lifecycle delivery of data programs (initiation, planning, execution, monitoring, and closure). Drive Agile/Waterfall hybrid delivery models ensuring timely, cost-effective, and high-quality outcomes. Establish KPIs, success metrics, and governance frameworks for data initiatives. Architect and oversee enterprise data platforms on cloud ecosystems (Azure/AWS). Implement modern data architectures including data lakes, warehouses, and medallion (Bronze/Silver/Gold) frameworks. Ensure robust data pipelines for ingestion, transformation, and consumption using ETL/ELT tools. Enable end-to-end analytics lifecycle from data ingestion to visualization and reporting. Collaborate with analysts and business users to deliver actionable insights. Leverage platforms like Databricks and Snowflake for scalable analytics workloads. Establish enterprise data governance frameworks including lineage, cataloging, and access control. Drive data quality initiatives, compliance standards, and secure handling of sensitive data (PII, SOX). Act as a trusted advisor to business and technology stakeholders. Translate complex data concepts into actionable business insights. Lead cross-functional collaboration across finance, marketing, operations, and IT teams. Build, mentor, and lead high-performing teams of data engineers, analysts, and product owners. Foster a culture of continuous improvement and delivery excellence. Required Qualifications 15+ years of experience in data, analytics, and program delivery roles. Strong background in data platform engineering and analytics delivery. Hands on and lead from front. Proven leadership in managing large-scale enterprise transformations. Excellent communication skills with ability to influence senior stakeholders. Certifications PMP or equivalent project management certification preferred. Education: Bachelors Degree Certification: Project Management Professional