Senior Director, Enterprise Intelligence

PTC; Boston (MA); Híbrido; USD 225.000 - 315.000; Jornada completa

Descripción de la vacante

PTC in Boston is seeking a Senior Director of Enterprise Intelligence to build and govern a data foundation and an AI-native operating model. You will own the enterprise data platform, drive AI adoption across Finance, Sales, Marketing, and IT, and lead Analytics & BI into a single accountable team with strong governance.

The role requires 15+ years in enterprise tech and 7+ years leading large teams, with hands-on GenAI and RAG experience. This is a hybrid Boston position.

Formación

• 15+ years in enterprise technology, data or engineering, including 7+ years leading large, multi-site teams and managing leaders of leaders.
• Track record of consolidating a fragmented data and BI estate onto a modern cloud data platform with a semantic layer and data governance.
• Track record of driving enterprise AI strategy and adoption across several business functions, with production results measured in hours saved or cycle time reduction.
• Hands-on depth in GenAI, RAG and agentic AI systems, and the judgement to scale from pilot to governed production.
• Experience building an organization from the ground up: hiring the leadership layer, setting culture, and scaling globally.
• Architecture strength across cloud-native and hybrid platforms, distributed and event-driven systems, APIs and enterprise integration.
• Security and governance built in: IAM/RBAC, least-privilege access, auditability, privacy and data governance across enterprise apps.
• Experience partnering with a CIO, CFO and business leaders to turn priorities into roadmaps and investments.
• Bachelor's degree as noted under education.

Responsabilidades

• Owns and leads the enterprise data platform and data engineering roadmap.
• Leads Analytics & BI, consolidating reporting into one accountable team with clear SLAs.
• Runs AI enablement and adoption across multiple functions with measurable outcomes.
• Establishes data governance, quality, and stewardship across critical data domains.
• Runs data as a product with defined consumers, roadmaps and service levels.

Conocimientos

Enterprise data strategy

AI governance

Data engineering leadership

Cloud architecture

Cross-functional leadership

Educación

Bachelor's degree in Computer Science or quantitative field

Herramientas

Salesforce

Microsoft Azure

Descripción del empleo

Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.

Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.

Senior Director, Enterprise Intelligence

Information Technology | Data, Analytics, AI & Automation | Boston, MA (Hybrid)

Overview

PTC is building one governed data foundation and an AI-native operating model on top of it. As Senior Director, Enterprise Intelligence, you will build both, run them, and make data and AI a measurable part of how PTC works.

About The Role

IT's vision is one PTC running on one modern, secure, AI-native technology core. This role owns the intelligence in that core: data the company can trust, and AI and automation that use it to free up time in Finance, Sales, Marketing, Customer Success, HR and IT itself. One leader owns both, so AI is never built on data that is not ready for it.

PTC is investing in AI and is now focused on putting it to work at scale. Tools are spread across functions, the AI Center of Excellence and the BI team sit outside IT, and there is not yet a single data platform, semantic layer or metric definition. Adoption, not access, is now the constraint.

PTC builds the software that runs the world's product companies. We want a leader who will treat PTC as its own Customer Zero, proving data and AI capabilities on our own processes and products before our customers rely on them.

What You Will Own

Strategy and Adoption

• Set PTC's enterprise data, analytics and AI strategy and roadmap with the CIO, tied to business outcomes rather than tool counts, and sequence it so the data foundation is never held back while AI moves ahead.
• Run AI adoption across Finance, Sales/GTM, Marketing, Customer Support & Success, HR and IT, with use cases chosen alongside business leaders and measured in hours and cycle time returned.
• Rationalize the AI, data and BI tool estate, consolidating overlapping copilots, assistants, reporting tools and platforms into a governed, funded set.

Data Foundation and Analytics

• Own the enterprise data platform and data engineering roadmap, moving fragmented data and reporting tools onto one platform.
• Build and run a single semantic and metrics layer, so each business metric has one definition, one owner and one source of truth.
• Lead Analytics & BI, bringing report and dashboard development from across the business into one accountable team with clear service levels.
• Establish data governance, quality and stewardship: named owners for critical data domains, automated quality monitoring and remediation, and lineage for regulated and financial data.
• Run data as a product, with a named consumer, roadmap and service level for each.

Build and Run AI

• Stand up an agent factory: a repeatable way to design, build, test, release and operate AI agents and automations.
• Architect AI-ready platforms, including RAG, agentic workflows, event-driven integration and secure APIs, with Enterprise Architecture.
• Own agent operations, so that every agent in production is registered, owned, monitored and auditable.
• Partner with Digital Workplace on an autonomous, agentic service desk and AI-led employee self-service.
• Embed AI in core business platforms, including Salesforce-based Lead-to-Order and Quote-to-Cash, with Global Enterprise Engineering.

Govern and Secure

• Chair the Data & AI Council with Enterprise Architecture and the CISO, and apply AI guardrails: identity and least-privilege access for agents, data governance, model risk and auditability.
• Enforce the autonomy rule: agents may act autonomously only within guardrails, and never on an irreversible action without human approval.

Organization and Customer Zero

• Build the function: bring the AI Center of Excellence and the BI team into IT, hire the data and analytics lead and the AI engineering lead, and place AI Enablement Leads inside every IT function.
• Champion Customer Zero by running PTC's own products and AI capabilities on PTC first, and feeding what we learn back to Product & Engineering.
• Own the Intelligence metric for the CIO's scorecard, spanning data and AI.

Success In The First Twelve Months Looks Like This

• One data foundation: one platform, one semantic layer and one metric definition for the metrics the ELT reviews, with a named owner for every critical data domain.
• Trusted data: automated quality monitoring and remediation on the highest-value data sets, and BI and reporting tools consolidated.
• Productivity returned to the business: at least a 20% productivity gain in priority processes through AI.
• Autonomous service: at least 50% of service requests resolved with no human touch (with Digital Workplace).
• Agents in production: agent factory live, with at least one production agent in every business domain and every agent registered with an owner, guardrail and audit trail.
• One AI estate: overlapping AI tools consolidated, with data and AI spend governed through one portfolio.
• One function: AI Center of Excellence and BI team absorbed into IT, with AI Enablement Leads embedded across IT.

What You Bring

Required Qualifications

• 15+ years in enterprise technology, data or engineering, including 7+ years leading large, multi-site teams and managing leaders of leaders.
• Track record of consolidating a fragmented data and BI estate onto a modern cloud data platform with a semantic layer, and of running data governance and quality at enterprise scale.
• Track record of driving enterprise AI strategy and adoption across several business functions, with production results measured in hours saved, requests automated or cycle time cut.
• Hands-on depth in GenAI, RAG and agentic AI systems, and the judgment to take them from pilot to governed production.
• Experience building an organization from the ground up: hiring the leadership layer, setting the culture, and scaling globally.
• Architecture strength across cloud-native and hybrid platforms, distributed and event-driven systems, APIs and enterprise integration.
• Security and governance built in: IAM/RBAC, least-privilege access, auditability, data privacy and data governance across enterprise applications.
• Experience partnering with a CIO, CFO and business leaders to turn priorities into roadmaps and investment decisions.
• Bachelor's degree in Computer Science, a quantitative field or equivalent experience.

Preferred Qualifications

• Experience at a software product company, including running a Customer Zero program.
• Experience building customer-facing SaaS products as well as internal enterprise platforms.
• Subscription, ARR and go-to-market data experience.
• Salesforce platform expertise (Administrator or Developer certification).
• Microsoft Azure certification (Data Engineer, Developer or equivalent).
• ITIL and Scrum/agile certification or equivalent practice.
• Experience leading teams across India, the US and Europe.

Location and Work Arrangement

This role is based in Boston, Massachusetts, on a hybrid model with two days per week in the office.

Pay Transparency

The annual base salary range for this position is $225,000 to $315,000. Actual compensation will be determined based on factors such as the candidate's skills, experience, qualifications and internal equity.

This position is not eligible for employment-based immigration sponsorship. Applicants must be authorized to work in the United States without requiring current or future sponsorship from PTC.

At PTC, we believe in the power of diverse ideas and perspectives. As a global company that values and respects all identities, cultures, and perspectives, we strive to create an inclusive PTC for ALL through an environment where everyone feels like they belong and are empowered to bring their true, authentic selves to work. Proud to be an Equal Opportunity Employer, we welcome applicants from all backgrounds and hire without regard to race, national origin, religion, age, color, ethnicity, ancestry, marital status, sex (including pregnancy), sexual orientation, gender identity, gender expression, genetic information, disability, veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

For more information about PTC’s comprehensive benefits and our AI usage, please visit our Careers Page https://www.ptc.com/en/careers/united-states-careers.

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