Technical Program Manager

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description

Location - Las Vegas, Nevada ( Onsite DAY1 ) 

We are seeking a senior Technical Program Manager to lead complex, multi-workstream data platform initiatives using Databricks and modern ETL/ELT patterns. The TPM will drive strategy, delivery, and governance across data engineering, analytics, and platform modernization efforts—managing roadmaps, budgets, risks, and stakeholder communication while enabling high-performing teams to deliver business value at scale.

Key Responsibilities: 
Program Leadership & Strategy Own end-to-end program strategy, roadmap, and execution for Databricks-centric data platform initiatives. 
Translate business outcomes into measurable OKRs/KPIs and delivery milestones.
Orchestrate cross-functional delivery across data engineering, platform, DevOps, QA, and security teams. Delivery Management
Establish delivery governance (RAID, change control, dependencies, risk burndown) and ensure on-time, on-budget delivery. 
Drive Agile at scale (Scrum/Kanban/SAFe), sprint health, throughput, and release management. 
Define and enforce SLAs/SLOs for data pipelines, batch/streaming jobs, and analytics products.
Technical Program Ownership (Databricks/ETL) 
Guide solution direction for Databricks (Apache Spark, Delta Lake, Unity Catalog), ETL/ELT flows, and data warehousing.
Oversee modernization/migration programs (onprem to cloud), cost optimization (cluster policies, job scheduling), and performance tuning. 
Ensure robust CI/CD for data pipelines, IaC for platform components, and environment parity across Dev/Test/Prod. Data Architecture & Governance 
Partner with architects on data models, lakehouse patterns, CDC, and medallion architecture. 
Implement data quality, lineage, cataloging, and access controls (e.g., Unity Catalog, row/column-level security). 
Ensure compliance with data privacy and regulatory requirements (e.g., PII/GDPR as applicable).
Stakeholder & Customer Management · Engage senior business stakeholders, product owners, and client leadership; manage expectations and executive reporting. Convert ambiguous requirements into clear program epics with acceptance criteria and success measures.

Required Skills: Program Management 
Enterprise-scale program ownership, governance, RAID management, executive communication. 
Strong backlog management, prioritization, and stakeholder alignment.
Proven delivery of multi-workstream, multi-vendor programs. Databricks & Data Engineering 
Databricks (Spark, Delta Lake, Unity Catalog, Job clusters), performance tuning & cost governance. 
ETL/ELT using Azure Data Factory / Synapse Pipelines / dbt / Airflow / Informatica (any strong combo). 
Strong SQL & practical Python for data workflows; CI/CD (Azure DevOps/GitHub Actions/Jenkins). 
Data warehousing/lakehouse patterns; batch & streaming (e.g., Structured Streaming). Cloud (one or more) · Azure (preferred), AWS, or GCP—including storage, compute, IAM, networking basics, and monitoring. Data Governance & Quality · Data cataloging/lineage, DQ frameworks, access control, secrets management, auditability. Leadership & Communication · Team leadership (15–40 members), mentorship, and conflict resolution. · Clear, concise communication with senior business and technical audiences. --- Good-to-Have · Certifications: PMP/Prince2, SAFe/CSM, Databricks Data Engineer Professional, Azure/AWS cloud certs. · Tools: Terraform/Bicep, Datadog/CloudWatch/Log Analytics, Great Expectations, Monte Carlo, Collibra/Purview. · Domain exposure: Media/Entertainment, Telecom, BFSI, or Retail/E-commerce.

Mandatory Skills: DataBricks - Data Engineering . Experience: >10 YEARS .The expected compensation for this role ranges from $100,000 to $200,000 . Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law. Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.