Technical Writer

Brooksource

New York (NY)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Opportunity to support a high-impact initiative
Collaborative work environment
Exposure to enterprise-level frameworks

Job summary

A leading consulting firm in New York is searching for an experienced Data Product & Standardizations Consultant. This role involves unifying marketing and customer data, leading data governance initiatives, and developing enterprise-wide metrics. Candidates should have over 5 years of relevant experience, strong SQL skills, and the ability to lead cross-functional teams. The position offers a chance to influence data strategy within a well-known organization.

Qualifications

  • 5+ years of experience in Data Governance, Data Quality, Data Stewardship, or Data Product Management.
  • Proven ability to define and standardize key business and customer-centric metrics.
  • Strong SQL proficiency for data exploration, profiling, and validation.

Responsibilities

  • Lead the definition and unification of enterprise-wide metrics across multiple data product systems.
  • Develop standardized definitions and data lineage for core first-party data assets.
  • Conduct stakeholder interviews to understand current metric usage.

Skills

Data Governance
Data Quality
SQL
Cross-functional leadership
Project management
Communication

Tools

Alation
Collibra

Job description

We are seeking an experienced Data Product & Standardizations Consultant to support a Fortune-level organization in New York. In this role, you will lead efforts to unify marketing and customer data across the business by establishing consistent, enterprise-wide definitions for key metrics. You will work closely with Data Product leadership to eliminate data divergence, build a single source of truth, and translate business requirements into technical logic for engineering teams.

Minimum Qualifications
  • 5+ years of experience in Data Governance, Data Quality, Data Stewardship, or Data Product Management
  • Proven ability to define and standardize key business and customer-centric metrics (e.g., Subscriber, Active User, MQL, LTV, Churn)
  • Strong SQL proficiency for data exploration, profiling, and validation
  • Experience with data governance frameworks, metadata management, and tools such as Alation, Collibra, or comparable solutions
  • Ability to lead cross-functional alignment across Marketing, Sales, Product, and Finance teams
  • Excellent communication skills and experience translating business logic into technical requirements
  • Strong project management and documentation skills with the ability to deliver milestones independently
Responsibilities
  • Lead the definition and unification of enterprise-wide metrics across multiple data product systems
  • Develop standardized definitions, data lineage, ownership, and logic for core first‑party data assets
  • Conduct stakeholder interviews to understand current metric usage and reconcile discrepancies
  • Create and maintain a centralized data dictionary or glossary to store definitions and related metadata
  • Translate business-approved definitions into technical requirements (SQL logic, CDP segment rules, etc.)
  • Partner with Data Product and Engineering teams to convert requirements into development tickets
  • Perform QA and validation on newly implemented segments, reports, and datasets
  • Support governance processes including metric ownership, change control, and quality standards
  • Provide recommendations to improve data consistency, accuracy, and usability across activation platforms
What’s in it for you?
  • Opportunity to support a high-impact data standardization initiative at a leading, well‑known organization
  • Ability to work closely with senior stakeholders across multiple business units
  • Exposure to enterprise-level data ecosystems and governance frameworks
  • Chance to influence long‑term data strategy and improve reporting trust and consistency
  • Work in a fast‑paced, collaborative, and highly visible environment
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