Senior Data Product Manager, Delivery Transformation (Remote)

ezCater; Boston (MA); Hybrid; USD 161,000 - 213,000; Full time

Benefits offered by this job

Stock options

12 paid holidays

Flexible PTO

401K with ezCater match

Health/dental/FSAs

Long-term disability insurance

Mental health resources

Remote-hybrid work options

Employee meal program

Job summary

ezCater, the #1 food tech platform for workplaces in the US, is hiring a Senior Data Product Manager for Delivery & Fulfillment. This remote role focuses on building a data foundation for fulfillment, including the canonical model, signals, and governance, to power analytics and intelligent routing.

You will partner with a dedicated engineering team and business stakeholders to define the data domain, drive adoption, and ensure reliability across order lifecycle and delivery operations.

Qualifications

• 7+ years in data engineering, data platform, analytics, or data-product teams.
• 5+ years owning data or analytics products with measurable impact.
• Experience defining a data domain from the ground up: canonical models and metrics.
• Strong SQL, data exploration, quality, lineage, and cost awareness.
• Experience with data governance, observability, and access controls.
• Excellent communication and stakeholder management across orgs.
• Willingness to travel up to 5 days per quarter.

Responsibilities

• Own the fulfillment data asset as a product with a North Star.
• Define the canonical data model, events, and relationships and evolve it.
• Design the metrics architecture to monitor reliability, timeliness, and cost.
• Build trusted, production-ready data products for analytics and self-service.
• Support ML models with signals, features, and governance.
• Drive delivery with multi-quarter, multi-team plans and clear trade-offs.
• Ensure data health, freshness, accuracy, and observability.
• Foster adoption, enablement, and measurable business impact.
• Collaborate with engineering, analytics, operations, and business stakeholders.

Skills

Data product management

Data engineering

Data analytics

SQL

Stakeholder management

Communication

Team collaboration

Job description

Senior Data Product Manager, Delivery & Fulfillment (Remote)

Remote

ezCater is the #1 food tech platform for workplaces in the US. The company makes it easy for any organization to manage its food needs and order from over 125,000 restaurants nationwide. For workplaces, ezCater provides flexible and scalable solutions for everything from employee meal programs to one-off meetings, all backed by 24/7 service and business-grade reliability. For restaurant partners, ezCater helps grow their business by bringing them new high-value customers and large orders.

We are looking for a Senior Data Product Manager to own the data foundation behind how ezCater fulfillsand delivers catering orders. Fulfillment is one of the most data-rich and operationally complex parts of ourbusiness, spanning demand and capacity signals, partner and driver assignment, pickup and deliveryexecution, and the events and telemetry generated at every step across internal systems and externaldelivery partners.

This is a build-from-the-ground-up role on a new, senior-sponsored initiative. You will own the data asset forfulfillment as a product — the canonical model of the domain, the metrics architecture on top of it, and thegoverned data products and signals that power analytics and the models behind intelligent routing, riskscoring, and service-level decisions. You will own the “what and why,” with engineering and architectureowning the “how.”

You will work alongside a principal product lead for the overall initiative and a dedicated engineering team,and partner closely with delivery operations, analytics, data platform engineering, and data architecture.Your first job is to turn a complex operational domain into a clear, trusted, extensible data foundation thatevery downstream capability compounds on.

What You'll Do:

• Own the fulfillment data asset as a product. Define and continuously refine the vision and strategy for thefulfillment data domain. Treat it as a product with real users, real adoption, and real return — measuredagainst a clear North Star. Connect it to the broader Enterprise Data and company roadmaps.
• Own the canonical model and its evolution. Take ownership of the canonical fulfillment lifecycle model — events, entities, relationships, and the happy, alternate, and exception paths — and evolve it from a V1 definition into the authoritative reference the whole initiative builds against. Partner with a business analyst and subject matter experts to get it right, then keep it current as the domain grows.
• Own the metrics architecture. Define the metrics architecture on top of the canonical model —operational, capability, geographic, coverage, and performance views that roll up to network-health signalsand drill down to micro-moments across the order lifecycle. Anchor it on the metrics that matter most:customer-facing reliability, timeliness, accuracy, and total cost to serve.
• Build governed, trusted data products. Own the definition of what makes a fulfillment data product trusted and production-ready, and deliver the P0 analytics and platform data products the rest of the initiative depends on.Design for multiple consumption paths — analytics and self-service, direct query, and thetelemetry and signals that flow back into models.
• Feed the models that power the platform. Ensure the data foundation reliably serves the machine-learning and decisioning workloads behind intelligent routing, pickup-time prediction, risk scoring, andservice-level differentiation. Define the signals, telemetry, and feedback loops these models need, and thecontracts for delivering them.
• Drive delivery and predictability. Decompose work into small, estimable data-product units. Drive credible,dated commitments and milestone-level goals rather than open-ended task lists, make trade-offs acrossvalue, effort, risk, and timing explicit, and keep dependencies and risks visible in integrated plans.
• Own reliability, quality, and cost. Treat data health as a product promise — freshness, accuracy, andsuccess service levels, with strong observability and fast resolution of data incidents. Be mindful of the uniteconomics of what you build.
• Drive adoption and outcomes. Validate data products against real usage with their business owners before build, drive adoption and change management, own documentation and enablement, measurebusiness impact, and adjust the roadmap accordingly.
• Connect to the broader data platform. Frame this work as a domain built on the Enterprise Data Hub andits governed semantic layer, not a parallel stack. Partner with the data platform team so the fulfillment domain lands on the shared foundation and benefits from its governance, cataloging, and semantic layerrather than reinventing them.
• Partner and enable.Operate as a peer to engineering and architecture and as the connective tissue acrossdelivery operations, analytics leaders, the principal initiative lead, and business stakeholders. Be theauthoritative expert on the fulfillment data domain — its model, capabilities, constraints, and data flows.

What You Have:

• 7+ years working in or directly with data engineering, data platform, analytics, or data-product teams, ideallyin complex, multi-system environments.
• 5+ years owning data or analytics products, with direct data-product-management experience stronglypreferred.
• Demonstrated success owning end-to-end data products — from discovery and requirements throughlaunch, adoption, and measurable business impact — ideally including work on shared or foundational dataassets.
• Experience defining a data domain from the ground up: canonical or domain modeling, event and entitydesign, and metrics or KPI architecture that rolls up and drills down cleanly.
• Deep familiarity with modern cloud data-warehouse and lakehouse architectures, ELT and transformationpatterns, and modeling frameworks and semantic and metrics layers.
• Strong SQL and the comfort to explore data and metadata — usage, quality, lineage, cost — yourself, tovalidate requirements, debug issues, and size opportunities.
• Experience partnering with data-science and machine-learning teams and supporting their needs on ashared foundation: reliable data access, the right signals and features, performance, and monitoring.
• Working knowledge of data governance, classification, access control, and data-quality and observabilitypractices.
• Proven ability to build and execute multi-quarter, multi-team plans and to make and communicate trade-offsacross competing initiatives; solid delivery discipline, including tracking progress against estimates.
• Excellent communication and stakeholder management — able to explain data and modeling concepts to non-technical audiences, influence senior leaders, and work across engineering, architecture, operations, analytics, and the business.
• A disposition that is friendly, flexible, pragmatic, and curious, with a desire to learn something new every dayand to raise the bar for the broader data, platform, and product teams.
• Ability to travel up to 5 days per quarter for Together Weeks, team gatherings and other events, when applicable.

Nice to Have:

• Experience in logistics, last-mile delivery, marketplace, food, or fulfillment domains, and familiarity with theoperational realities of delivery (dispatch, routing, tracking, driver and partner dynamics).
• Experience standing up the data foundation for models and decisioning systems — routing, risk scoring,forecasting, or recommendation.
• Familiarity with modern AI-powered data-platform patterns (semantic layers, retrieval and search,conversational analytics) and how they change how people consume data.
• Experience building on top of, or migrating onto, a governed enterprise data platform and semantic layer.

The national total target cash compensation range for this position, including base salary and bonus target, is $161,000–$213,000 annually.*

*Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).

ezCater does not sponsor applicants for work visas or legal permanent residence.

What You’ll Get from Us:

You’ll get a terrifically compelling experience in an innovative, high performing environment. You’ll get to work with engaged and passionate colleagues on challenging and impactful projects. You will have opportunities to grow in your career, and work in a place that values work/life harmony.

Oh, and you’ll get all this: Market competitive salary, stock options that you’ll help make worth a lot, 12 paid holidays, flexible PTO, 401K with ezCater match, health/dental/FSA, long-term disability insurance, mental health and family planning resources, remote-hybrid work from our awesome Boston office OR your home OR a mixture of both home and office, a tremendous amount of responsibility and autonomy, wicked awesome co-workers, employee meal program (and many more goodies) when you’re in our office, and knowing that you helped transform the food for work space.

ezCater is an equal opportunity employer. We embrace humans of every background, appearance, race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, and disability status. At the same time, we do not employ jerks, even brilliant ones. Following a conditional offer of employment, ezCater may require a background check.