Data Program Manager

About Incedo:

Incedo is a global AI and data transformation specialist empowering companies to realize sustainable business impact from their digital investments by delivering ROI from AI@Scale. As a long-term partner for strategy to execution, we operate at the intersection of business and technology. Our integrated services and platforms are built on the foundation of AI & Data, digital engineering, andoperations transformation, bringing deep domain expertise and full stack capabilities together. With over 4,000 people in the US, Canada, Latin America and India and a large, diverse portfolio of Fortune 500 enterprises and fast growing clients worldwide, we work across banking & payments, wealth management, telecom, hitech and life sciences.

Please visit the link to know about Incedo: https://www.incedoinc.com/

Title: Data Technology Program Manager

Location: South San Francisco, CA

Work Arrangement: Hybrid – 3 days onsite per week

Employment Type: Full-Time

Industry: Life Sciences / Healthcare Technology

Position Overview

We are seeking an experienced Data Technology Program Manager to lead complex data and technology transformation initiatives in a highly collaborative enterprise environment. The ideal candidate will have a strong understanding of data platforms, data engineering, cloud technologies, data modernization, AI/GenAI, data governance, and enterprise technology delivery.

This role will be responsible for driving strategic data programs from planning through execution, coordinating cross-functional technology teams, managing stakeholders, and ensuring successful delivery of scalable and secure data solutions.

The ideal candidate should be comfortable working across business, data engineering, architecture, analytics, cloud, security, and technology teams, translating business objectives into actionable technology roadmaps and delivery plans.

Key Responsibilities

• Lead end-to-end delivery of large-scale data and technology programs, from strategy and planning through implementation and production rollout.
• Define program objectives, scope, milestones, dependencies, delivery plans, and success criteria.
• Partner with Data Engineering, Data Science, Cloud, Architecture, Product, Security, and Business teams to drive program execution.
• Lead data modernization initiatives involving legacy-to-cloud transformation, data platforms, data pipelines, analytics, and AI/GenAI capabilities.
• Establish and manage program governance, including steering committees, executive reporting, RAID logs, status reporting, and escalation management.
• Collaborate with enterprise and solution architects to ensure alignment with data architecture, technology standards, security, governance, and deployment strategies.
• Manage multiple workstreams and geographically distributed teams while maintaining delivery timelines and quality.
• Identify program risks, dependencies, resource constraints, and technical challenges and drive mitigation plans.
• Work with stakeholders to prioritize initiatives and establish realistic roadmaps and delivery commitments.
• Drive adoption of modern data and AI capabilities to improve business outcomes and operational efficiency.
• Ensure data programs follow appropriate security, privacy, compliance, governance, and quality standards.
• Track program KPIs, budgets, schedules, deliverables, and business outcomes.
• Facilitate communication between technical teams and senior business stakeholders, translating complex technical concepts into clear business language.
• Support continuous improvement of program delivery processes, Agile practices, and technology operating models.

Required Qualifications

• 8+ years of experience in technology program/project management, with significant experience delivering data-focused initiatives.
• Strong experience managing enterprise data, analytics, data platform, cloud, or data modernization programs.
• Experience working with cross-functional technology teams including Data Engineering, Data Science, Cloud, Architecture, Security, and Analytics.
• Strong understanding of modern data platforms, data engineering, cloud computing, APIs, data pipelines, analytics, and AI/ML ecosystems.
• Experience with AWS, Azure, or GCP cloud environments.
• Understanding of data governance, data quality, security, privacy, and enterprise architecture principles.
• Experience working in Agile/Scrum environments and managing multiple technology workstreams.
• Strong program governance, risk management, dependency management, and executive communication skills.
• Excellent written and verbal communication skills.
• Ability to work effectively with both technical and non-technical stakeholders.

Preferred Qualifications

• Experience in Life Sciences, Healthcare, or Pharmaceutical environments.
• Experience with AI/Generative AI transformation programs.
• Experience with cloud data platforms and modern data architecture.
• Knowledge of tools/platforms such as Snowflake, Databricks, AWS, Azure, Tableau, Power BI, or similar technologies.
• Experience leading legacy data modernization and cloud migration initiatives.
• Experience establishing enterprise-level data governance and operating models.
• PMP, Scrum Master, SAFe, or similar program/project management certification.
• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.

Key Competencies

• Data & Technology Program Leadership
• Data Modernization
• Data Platform Transformation
• Cloud Technology
• Data Engineering
• AI / Generative AI
• Data Governance
• Enterprise Architecture
• Technology Strategy
• Agile / Scrum
• Stakeholder Management
• Risk & Dependency Management
• Executive Communication
• Cross-functional Team Leadership