BI Technical Lead
Listed on 2026-07-07
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IT/Tech
Data Analyst, Business Intelligence, Data Engineering, Business Systems/ Tech Analyst
About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human‑centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial‑and‑error business decisions have been replaced by informed choices and data‑supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Job SummaryWe are seeking an experienced BI Technical Lead to drive the Customer & Corporate Analytics portfolio within a large‑scale Data & AI Managed Services engagement. This role will serve as the primary liaison between business stakeholders and offshore delivery teams, leading the design, development, modernization, and support of enterprise analytics solutions. The ideal candidate will possess deep expertise in Tableau, Power BI, GCP Big Query, and analytics delivery, with strong experience in customer operations, contact center analytics, and corporate reporting.
This position requires a combination of technical leadership, stakeholder management, and hands‑on delivery oversight in a regulated utility environment.
- Serve as the primary point of contact for Customer & Corporate Analytics stakeholders across Customer Service, Marketing, HR, Finance, Regulatory, and Corporate functions.
- Lead end‑to‑end delivery of dashboards, reports, semantic models, and analytics solutions using Tableau, Power BI, and GCP Big Query.
- Drive SAP HANA to GCP Big Query dashboard migration initiatives, including data source redesign, semantic layer modernization, validation, and certification.
- Design and deliver analytics solutions such as workforce productivity tracking, customer chat transcript analysis, Customer 360 reporting, and contact center performance dashboards.
- Partner with business and IT teams to define analytics use cases, prioritize backlogs, and translate requirements into technical solutions.
- Provide technical leadership to offshore BI developers and data engineers, ensuring quality, scalability, and performance optimization.
- Assess reporting and analytics impacts from customer experience transformation initiatives, including contact center migrations such as Genesys Cloud.
- Establish semantic layer standards, data governance practices, data catalog certification, observability, and reporting quality controls.
- Maintain delivery roadmaps, monitor milestones, and manage dependencies across multiple analytics work streams.
- Ensure compliance with security, governance, SOX, data quality, and regulatory reporting requirements.
- 15+ years of experience in Business Intelligence, Analytics, and Technical Leadership roles.
- Expert‑level proficiency in Tableau and Power BI, including development, administration, architecture, and performance optimization.
- Strong experience migrating analytics solutions from SAP HANA to GCP Big Query, including semantic layer redesign and dashboard modernization.
- Deep expertise in GCP Big Query, SQL, dimensional modeling, semantic layer architecture, and ETL/ELT processes.
- Experience supporting customer operations, contact center analytics, customer experience metrics, billing analytics, collections reporting, and regulatory reporting.
- Knowledge of contact center platforms such as Genesys Cloud, NICE, or similar, including chat, call center, and agent performance analytics.
- Familiarity with HR analytics, finance reporting, marketing campaign analytics, and enterprise KPI frameworks.
- Experience with data governance,…
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