Key Responsibilities

Own the end-to-end governance of the Tableau workplace, including ~200 dashboards, ~236 workbooks, published data sources, and Tableau Server/Cloud administration

Architect scalable, reusable data source frameworks and extract strategies optimized for the AWS-hosted analytics workplace

Lead platform modernization planning including migration to newer Tableau capabilities (e.g., Tableau Pulse, Tableau AI, embedded analytics)

Own Tableau Server/Cloud health monitoring, performance tuning, capacity planning, upgrade management, and license optimization

Drive workload rationalization — identifying dashboards for consolidation, retirement, or self-service migration as part of ongoing platform hygiene

Oversee the full Tableau delivery lifecycle: intake, prioritization, design, development, QA, release, and post-production support

Manage L2/L3 escalations and serve as the final technical decision-maker for complex incidents, data discrepancies, and setting issues

Own SLA adherence across all Tableau-related queues: incidents, service requests, small-ticket enhancements, and larger backlog items

Lead monthly release cycles, ensuring production readiness, change control compliance, and blackout window adherence





Drive automation and self-service initiatives to reduce high-volume manual work (dataset refreshes, extract modifications, report distribution)

Maintain full backlog visibility in ServiceNow — ensuring accurate classification, aging management, capacity tracking, and executive reporting

Engage at the immediate stakeholders to show the weekly status, monthly status reports.

Own CSAT measurement and improvement for the Tableau delivery domain, proactively identifying and resolving satisfaction risks

Communicate delivery performance, capacity constraints, backlog health, and roadmap progress through weekly and monthly reporting

Develop and maintain the multi-year Tableau platform roadmap aligned to PHS's Project Catalyst modernization objectives

Identify and implement year-over-year delivery efficiency gains through standardization, automation, and process optimization

Evaluate and pilot emerging Tableau capabilities, AI-assisted analytics, and cloud-native integrations to advance PHS's analytics maturity

Lead knowledge management across the Tableau team — runbooks, design standards, onboarding playbooks, and continuity documentation

📌 Lead Tableau Developer Telangana (India)
🏢 LevelShift
📍 India