Sr. Marketing Technology & Data Consultant - Marketing Data Product Owner (Marketing Attributes)

Caterpillar Inc.•Peoria, IL

11d•$128,470 - $208,770

About The Position

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Work Shapes the World at Caterpillar Inc. Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world. Job Summary: As a Marketing Technology & Data Product Owner and Consultant, you are the visionary architect and innovation lead for the DBM (Digital Behavior & Marketing) Data Lake. You own the transformation of raw digital signals into a high-fidelity, intelligent data ecosystem. Your role is to push the boundaries of how we define, unify, and activate customer data, ensuring our "safe source of data" is not just a repository, but a competitive engine for the business. In this role, you will be the primary strategist for our digital behavioral data, responsible for the "meaning," "movement," and "mastery" of customer attributes. While other parts of the team handle the collection of Google Analytics data and other digital marketing and behavioral data, this role owns the adoption for how that data is refined into a 360-degree customer view. Thought leadership and strategy in identity resolution, advanced attribute engineering, and data governance, ensures the marketing-ready data is accurate, compliant, and an actionable asset for the enterprise.

Requirements

Customer Focus: Knowledge of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and ability to leverage that information in creating customized customer solutions.
Creativity: Knowledge of the approaches, tools, and techniques for promoting creative, original thinking and ability to apply it to a variety of business situations.
Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
Relationship Management: Knowledge of relationship management techniques; ability to establish and maintain healthy working relationships with clients, vendors, and peers.
Technical Excellence: Knowledge of a given technology and various application methods; ability to develop and provide solutions to significant technical challenges.
Vendor/Supplier Management: Knowledge of external provider management processes and ability to effectively manage the business relationship with external providers (e.g. vendors, service providers, contractors, consultants and suppliers).
Digital Marketing: Knowledge of processes, techniques, and platforms of digital marketing; ability to implement or manage digital marketing programs.

Nice To Haves

Educational Foundation: A four-year bachelor’s degree or higher in Marketing, Analytics, Data Science, eCommerce, Information Systems, or a related field, or equivalent professional experience.
Domain-Specific Experience: Experience specifically focused on Data Product Ownership, MarTech Strategy, or Customer Data Management.
Leadership & Consulting: Work experience in a high-level advisory or "Internal Consultant" capacity, with a proven track record of presenting data roadmaps to stakeholders.
Behavioral Strategy: Ability to translate complex customer behaviors and digital journey stages into clear, high-value attributes that drive conversion and retention.
Personalization Expertise: Define data requirements for real-time personalization and dynamic audience segmentation within a digital product environment.
Consultative Leadership: Demonstrate translating complex data concepts into a "business value" story for executive leadership, effectively acting as an internal consultant for Sales, Marketing, and Service departments.
MarTech Strategy & Data Flows: Understand how digital data (like Google Analytics) maps to marketing use cases and how customer profiles are built within a cloud-based data lake.
Glossary & Taxonomy Ownership: Experience building and managing Data Dictionaries where definitions are standardized across multiple global teams to eliminate confusion and data silos.
Business Logic Oversight: Ability to define the "why" and "what" behind data schemas, ensuring that technical implementations perfectly match the intended business outcomes.
Privacy-by-Design Mindset: Understanding of the global privacy landscape (GDPR, CCPA) and experience ensuring digital products remain compliant while staying innovative.
Strategic Communication: Excellent communication skills with the ability to influence leadership and facilitate complex discussions across diverse teams.
Agile Project Management: Proficiency in Azure DevOps (ADO) for managing Epics, Features and Support Cases, combined with strong program management and change management expertise.
Global Collaboration: Experience working with distributed teams, effectively coordinating between both onshore and offshore resources in high-change, fast-paced environments.
Institutional Knowledge: In-depth familiarity with Caterpillar’s organizational structure, policies, and digital standards is highly preferred.

Responsibilities

Own the Product Vision: Lead the roadmap for a 360-degree customer view, acting as the primary consultant and evangelist to business partners and stakeholders to ensure the initiative is aligned with business needs and value.
Architect the "Unified Visitor Record": Define the business rules for deduplication and identity resolution, owning the roadmap for engineering that links visitors to customer contacts across devices and platforms using deterministic and probabilistic matching.
Establish Visitor Data Governance: Define the "master" sources for data entities and manage the Business Glossary and Data Catalog to ensure all unified data is standardized, documented, and easily discoverable.
Drive Visitor Data Quality Innovation: Own the strategy for visitor data validation rules and enhancement systems to ensure the integrity of the digital visitor and related marketing consumer data.
Mitigate Compliance Risk: Partner with legal and privacy teams to proactively enforce global policies (e.g., GDPR, CCPA), ensuring the DBM lake continues to build on its' foundation of "privacy-by-design."
Innovate Attribute Engineering: Define and standardize the library of behavioral attributes and features required to provide personalization and high-precision target audience marketing.
Advance Identity Intelligence: Partner with AI and data scientist teams to develop and refine matching and attribute creation models to improve profile accuracy and empower targeted and personalized marketing.
Enable Action: Translate business pain points from Sales, Marketing, and Site/App Product Owners into technical requirements for consumable data sets and in turn enable dashboards and advanced analytics.
Strategic Profile Enrichment: Manage the roadmap for integrating high-value third-party data (demographic, firmographic, and psychographic) to deepen the understanding of the customer journey.
Employees may also be responsible for performing other job duties occasionally as assigned.