We are looking for an experienced Technical Program Manager to lead complex Data, Analytics, and AI transformation initiatives across the organization. The ideal candidate will have a strong blend of technical understanding, program management expertise, and stakeholder management capabilities. This role will drive end-to-end delivery of enterprise data platforms, analytics, AI/ML, and Generative AI programs, establish governance, manage cross-functional teams, and ensure successful execution of strategic initiatives on AWS Cloud.

Qualification : Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.

Office Location : Bangalore - Bellandur, hybrid job 3 days from office - onsite client location

Job Type : Full Time

Certifications : PMP, Scrum Master, SAFe, or equivalent program management certifications are preferred.

Experience :

- 9+ years of experience in Technical Program Management, Data & Analytics, Cloud Transformation, or Digital Transformation. Experience leading enterprise-scale technical programs across global teams.

Interview Process : Total 3 Technical rounds. 2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with client.

Preferred Experience :

- Experience delivering enterprise-scale Data & Analytics transformation programs.

- Strong exposure to AWS-based data platforms and cloud modernization initiatives.

- Experience managing globally distributed engineering and delivery teams.

- Experience working with executive leadership, steering committees, and senior business stakeholders.

- Experience leading AI/ML and Generative AI programs, coordinating across Data Engineering, Data Science, AI Engineering, and Business teams.

- Experience delivering analytics or data transformation initiatives involving enterprise systems such as SAP and Salesforce.

- Experience establishing PMO governance, portfolio reporting, and executive dashboards for large transformation programs.

- Experience working in Agile product and engineering environments.

Key Responsibilities :

- Lead multiple enterprise-scale Data & Analytics programs from initiation through delivery.

- Manage complex analytics initiatives involving Data Engineering, BI, Reporting, AI/ML, and Generative AI teams.

- Drive program governance, execution planning, risk management, dependency tracking, and executive reporting.

- Partner with business, product, architecture, and engineering teams to translate business objectives into executable delivery plans.

- Track program milestones, budgets, timelines, and resource allocation across multiple workstreams.

- Build and maintain executive dashboards, KPIs, program scorecards, and portfolio reporting.

- Drive Agile delivery using tools such as Jira, Asana, Azure DevOps, or similar platforms.

- Ensure successful coordination between offshore and onsite teams.

- Facilitate steering committee meetings and provide regular status updates to senior leadership.

- Drive issue resolution and remove delivery roadblocks across teams.

- Establish PMO best practices and continuous improvement initiatives.

- Collaborate with business stakeholders to prioritize initiatives, manage change, and drive adoption of enterprise data and AI capabilities.

Technical Skills :

- Strong understanding of Data Engineering concepts, ETL/ELT pipelines, Data Warehousing, Data Lakes, and modern data architectures.

- Working knowledge of AWS Cloud services, including :

1. Amazon S3

2. Amazon Redshift

3. AWS Glue

4. AWS Lambda

5. Amazon Athena

6. Amazon EMR

7. AWS IAM

- Experience with modern cloud data platforms such as Snowflake, Databricks, or similar.

- Strong understanding of BI and visualization tools including Power BI, Tableau, or Amazon QuickSight.

- Experience creating executive dashboards, KPIs, portfolio metrics, and program scorecards.

- Good understanding of SQL, data modeling, and analytics concepts.

- Experience working with enterprise platforms such as SAP and Salesforce, including their data models, integrations, and analytics use cases.

- Hands-on experience or strong program management exposure to AI/ML and Generative AI initiatives is required, including delivering AI-enabled analytics, intelligent automation, or enterprise AI transformation programs.

- Understanding of API-based integrations and modern enterprise data ecosystems is preferred.