Data Program Manager

Job Title: Data Program Manager - AI Transformation Initiatives

Location: Sunnyvale, CA (Hybrid/Onsite)


Summary:


We are seeking an experienced Onsite Data Program Manager to lead and drive multiple, parallel AI-enabled transformation initiatives in support of business and operational excellence. This role requires managing complex, cross-functional programs focused on data, automation, analytics, and AI adoption to improve productivity, decision-making, and technical scalability.


The ideal candidate will bring a strong blend of program management expertise, data and reporting capabilities, hands-on technical understanding (Python, databases, AI tools) , and the ability to propose and operationalize AI-driven solutions aligned with cleint's innovation culture. This role demands close onsite collaboration with engineering, data, operations, and leadership teams.


Core Skills:


Technical & Data Skills

• Strong understanding of AI/ML tools and platforms relevant to large-scale enterprise environments
• Hands-on experience with Python for data analysis, automation, and proof-of-concept development
• Solid knowledge of databases (SQL and/or NoSQL), data modeling, and data pipelines
• Expertise in reporting and dashboarding tools ( e.g., Tableau, Power BI, Looker, or internal analytics platforms)
• Familiarity with AI productivity tools , automation frameworks, and analytics-driven workflow optimization
• Ability to evaluate and recommend AI solutions for productivity improvement and technical optimization
• Experience working with data quality, governance, and performance metrics

Program & Delivery Skills

• Program and project management across multiple concurrent tracks and initiatives
• Strong risk identification, dependency management, and milestone tracking skills
• Experience managing complex roadmaps involving engineering, data science, and business stakeholders
• Proven ability to translate ambiguous problems into structured execution plans

Non-Technical & Leadership Skills

• Exceptional communication and stakeholder management
• Strong team coordination across geographically and functionally diverse groups
• Ability to influence without authority
• Clear, concise executive-level reporting and storytelling
• Strong decision-making and problem-solving mindset

Expected Responsibilities:

• Lead and manage multiple AI transformation programs end-to-end, ensuring alignment with organizational priorities
• Drive AI-enabled productivity improvements , identifying opportunities for automation, analytics, and intelligent tooling
• Partner with engineering, data science, analytics, and operations teams to design scalable technical solutions
• Define program goals, success metrics, milestones, and KPIs for AI and data initiatives
• Proactively identify risks, dependencies, and integration challenges and drive mitigation strategies
• Oversee data readiness, reporting accuracy, and insights quality for leadership consumption
• Facilitate regular program governance, reviews, and executive updates
• Advocate best practices in data-driven decision making and AI adoption
• Ensure timely delivery while maintaining high standards for quality, security, and scalability

Roles Played:

• Program Owner: Owns end-to-end execution of AI and data programs across multiple workstreams
• Strategic Partner: Collaborates with leadership to shape AI transformation strategy and roadmap
• Solution Enabler: Works closely with technical teams to assess feasibility and recommend optimal AI tools and architectures
• Change Agent: Drives adoption of AI-driven processes and tools across teams
• Coordinator & Facilitator: Aligns cross-functional teams, resolves conflicts, and drives momentum
• Data Champion: Ensures insights, reports, and dashboards are accurate, actionable, and impactful

Good-to-Have Skills:

• Experience working in large-scale technology companies or complex enterprise environments
• Exposure to GenAI platforms, LLMs, MLOps, AI orchestration tools , or AI copilots
• Familiarity with cloud platforms and data ecosystems (e.g., AWS, GCP, Azure)
• Background in data engineering or analytics program management
• Experience supporting AI adoption, governance, or responsible AI initiatives
• Prior onsite execution experience in highly collaborative, fast-paced environments
• Knowledge of Agile, SAFe, or hybrid delivery frameworks