Technical Program Manager Data Analytics

Role & responsibilities

Technical Program Manager Data & Analytics

Experience: 10+ Years

Role Summary

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.

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:

• Amazon S3

• Amazon Redshift

• AWS Glue

• AWS Lambda

• Amazon Athena

• Amazon EMR

• 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.

Program Management Skills

• Enterprise Program Management
• Agile / Scrum Delivery
• Stakeholder Management
• Executive Communication
• Risk & Issue Management
• Financial Tracking & Budget Management
• Dependency Management
• Vendor Management
• Change Management
• Resource Planning
• Portfolio Governance
• Cross-functional Team Leadership

Tools

• Jira
• Asana
• Azure DevOps
• Confluence
• Microsoft Project
• Power BI
• Tableau
• Microsoft Excel
• Microsoft Office Suite

Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field.
• 10+ years of experience in Technical Program Management, Data & Analytics, Cloud Transformation, or Digital Transformation.
• Experience leading enterprise-scale technical programs across global teams.
• PMP, Scrum Master, SAFe, or equivalent program management certifications are preferred.

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.

Interested candidates please reach on [email protected]