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Sr. Marketing Data & GTM Engineer

Remote / Online - Candidates ideally in
Ramsey, Bergen County, New Jersey, 07446, USA
Listing for: Konica Minolta Business Solutions
Remote/Work from Home position Listed on 2026-11-08
Job specializations:
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR

Job Description & How to Apply Below

Overview

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Konica Minolta is seeking a forward-looking Senior Marketing Data & GTM Engineer to transform complex, fragmented data into the audience intelligence and activation capabilities that power modern go-to-market execution. This role sits at the intersection of marketing, analytics engineering, revenue operations, and enterprise technology and is designed for a builder who can translate growth priorities into scalable data products and reliable activation workflows.

The Senior Marketing Data & GTM Engineer will develop sophisticated account and contact segments, scoring and prioritization models, marketing-ready datasets, and governed semantic layers. Serving as a technical bridge between Marketing and Data Engineering, this person will connect behavioral, firmographic, intent, campaign, sales, customer, product, and third-party data to make it actionable across the customer lifecycle.

This role is based in our Ramsey, NJ headquarters and offers a hybrid work environment that balances in-person collaboration with flexibility, including four days onsite and a remote work option on Fridays.

Responsibilities GTM Data Architecture & Semantic Enablement
  • Partner with Marketing, Sales, and Data Engineering to define the data capabilities needed to support audience strategy, demand generation, lifecycle marketing, personalization, and revenue growth.
  • Develop efficiencies between data sets existing in legacy systems, a master data lake and Salesforce that help all aspects of the business.
  • Design and maintain marketing-ready data models that connect account, contact, lead, engagement, campaign, opportunity, customer, product, digital, and third‑party data.
  • Build and govern semantic layers, reusable metrics, dimensions, business definitions, and documentation that make enterprise data understandable, traceable, and usable for marketing analysis and activation.
  • Translate ambiguous business questions into data requirements, logical models, transformation rules, acceptance criteria, and technical delivery plans.
  • Prototype and product ionize reusable datasets, features, and data products that reduce one-off analysis and accelerate campaign planning and activation.
Audience Engineering, Segmentation & Activation
  • Develop scalable segmentation logic for ideal customer profiles, buying groups, whitespace identification, next-best audiences, personalization, and cross-sell or retention programs.
  • Create, validate, and govern reusable audience components, eligibility criteria, exclusions, routing rules, and activation logic across marketing automation, CRM, advertising, web, sales outreach, and other GTM channels and refine based on channel outcomes.
  • Engineer identity resolution and account-contact relationship logic with IT and data owners to improve match rates, hierarchy accuracy, deduplication, and activation quality.
Scoring, Prioritization & Decision Models
  • Define model inputs, weighting, thresholds, decay, negative signals, exclusions, routing logic, and feedback loops in collaboration with Marketing and Sales.
  • Back-test models against business outcomes and monitor lift, calibration, stability, coverage, bias, and adoption.
  • Create reason codes that help marketers and sellers understand why an account or contact is prioritized and what action to take next.
  • Embed scores and decision logic into campaign, automation, lead management, and sales workflows.
Data Engineering, Integration & Quality
  • Write and optimize advanced SQL to profile, join, transform, test, and analyze large, complex datasets in cloud…
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