Senior Product Manager (Master Data Management)

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field; advanced degree preferred.

• 7+ years of experience in software product management and/or software engineering, with significant ownership of platform or infrastructure products for large enterprises.

• Proven experience as a Product Manager (or closely related role) for Master Data Management (MDM), Customer Data Platform (CDP), or enterprise data platform products.

• Hands-on experience with or exposure to platforms such as Informatica, Salesforce Data Cloud, Azure Dataverse, or similar enterprise data solutions.

• Strong understanding of data and AI architecture concepts, including relational and NoSQL data stores, data modeling, metadata management, APIs, event streaming, and real-time processing.

• Experience working with AI and ML-enabled systems, such as intelligent matching, recommendations, classification, or decisioning.

• Familiarity with AI agents, orchestration frameworks, or agent-like architectures that combine data, reasoning, and action.

• Experience working with cloud platforms (AWS, Azure, GCP) and modern SaaS delivery models.

• Familiarity with data governance, security, privacy, and compliance requirements in enterprise environments.

• Ability to read technical designs, engage in architectural trade-off discussions, and challenge assumptions constructively.

• Preferred Skills & Experience

• Prior experience building or scaling AI-driven data platforms, CDPs, or MDM solutions with embedded intelligence.

• Exposure to generative AI, LLM-based systems, vector search, or hybrid transactional/analytical platforms.

• Experience working in teams that leverage AI-assisted development, rapid prototyping, and "vibe coding" approaches.

• Demonstrated executive-level storytelling: ability to frame strategy, trade-offs, and investment asks in a crisp narrative for senior leadership and cross-functional stakeholders.

• Experience leading executive readouts (e.g., QBRs/MBRs), preparing CEO/CPO/CTO briefings, and influencing decision-makers through clear written docs and compelling presentations.

• Background as a software engineer, data engineer, or architect before transitioning into product management.

• Experience defining data models and APIs consumed by AI agents, decision engines, or autonomous workflows.

• Nice to have: experience engaging external audiences (analysts, partners, conferences) to communicate product strategy and platform differentiation.

Who You Are:

• A senior-level product manager with a strong technical foundation and a passion for building intelligent, enterprise-grade data and AI platforms.

• Comfortable operating at the intersection of product strategy, deep technical execution, and emerging AI paradigms such as autonomous agents.

• Experienced presenting product vision, strategy, and technical concepts to senior leadership, including executives such as the CEO, Chief Product Officer, CTO, and other C-level stakeholders.

• An excellent communicator who can clearly articulate complex technical topics to both technical and non-technical audiences.

• Excited by fast-moving, iterative product development and modern vibe coding cultures that emphasize experimentation and learning.

• Able to influence and align cross-functional teams across product management, engineering, architecture, data science, and go-to-market functions.

• Confident engaging with highly technical customers, architects, engineers, and data leaders.

• Pragmatic, outcome-driven, and experienced in balancing long-term platform investments with near-term business value.

What You've Accomplished:

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field; advanced degree preferred.

• 7+ years of experience in software product management and/or software engineering, with significant ownership of platform or infrastructure products for large enterprises.

• Proven experience as a Product Manager (or closely related role) for Master Data Management (MDM), Customer Data Platform (CDP), or enterprise data platform products.

• Hands-on experience with or exposure to platforms such as Informatica, Salesforce Data Cloud, Azure Dataverse, or similar enterprise data solutions.

• Strong understanding of data and AI architecture concepts, including relational and NoSQL data stores, data modeling, metadata management, APIs, event streaming, and real-time processing.

• Experience working with AI and ML-enabled systems, such as intelligent matching, recommendations, classification, or decisioning.

• Familiarity with AI agents, orchestration frameworks, or agent-like architectures that combine data, reasoning, and action.

• Experience working with cloud platforms (AWS, Azure, GCP) and modern SaaS delivery models.

• Familiarity with data governance, security, privacy, and compliance requirements in enterprise environments.

• Ability to read technical designs, engage in architectural trade-off discussions, and challenge assumptions constructively.

Preferred Skills & Experience

• Prior experience building or scaling AI-driven data platforms, CDPs, or MDM solutions with embedded intelligence.

• Exposure to generative AI, LLM-based systems, vector search, or hybrid transactional/analytical platforms.

• Experience working in teams that leverage AI-assisted development, rapid prototyping, and "vibe coding" approaches.

• Demonstrated executive-level storytelling: ability to frame strategy, trade-offs, and investment asks in a crisp narrative for senior leadership and cross-functional stakeholders.

• Experience leading executive readouts (e.g., QBRs/MBRs), preparing CEO/CPO/CTO briefings, and influencing decision-makers through clear written docs and compelling presentations.

• Background as a software engineer, data engineer, or architect before transitioning into product management.

• Experience defining data models and APIs consumed by AI agents, decision engines, or autonomous workflows.

• Nice to have: experience engaging external audiences (analysts, partners, conferences) to communicate product strategy and platform differentiation.

Base salary range for this role is 138,600 - 211,100 USD annually. This role may also be eligible for annual bonus OR commission, as well as benefits and other incentives.

No-code and low-code are more than trends at Pega-they are foundational to how we help the world's largest enterprises design, build, and scale intelligent applications. As Pega continues to evolve the Pega Infinity platform, data, AI, and autonomous agents are becoming the backbone that powers real-time decisioning, customer engagement, and intelligent automation across every channel. _This role is a hybrid position with a minimum of three days out of our Waltham, Massachusetts office._ Picture Yourself at Pega: In this role, you will shape the future of Pega's master data and AI-powered data activation capabilities. You will lead product strategy and execution for data platform services that enable enterprises to unify, govern, reason over, and activate customer and reference data using modern AI techniques and agent-based architectures. This position is ideal for a technically strong product manager who has built or owned MDM and/or CDP platforms in complex enterprise environments and is excited about applying AI, AI agents, and modern vibe coding approaches (rapid, iterative, AI-assisted development) to accelerate platform innovation. You will act as the connective tissue between engineering, architecture, AI/decisioning teams, applications, and customers-ensuring Pega's data and AI platform capabilities meet the needs of modern, cloud-native enterprises.