Overview

We are seeking a Data Technology Consultant to help shape and operationalize a robust data product framework. In this role, you will define what constitutes a data product, establish governance structures, and design scalable workflows that empower teams to ingest, publish, and manage data assets with confidence. You will play a pivotal role in fostering a culture of accountability, stewardship, and continuous improvement across the data platform.

Responsibilities:
  • Develop a practical and actionable definition of a "data product" tailored to the organization's needs and context
  • Design and implement a transparent ownership model, assigning clear responsibilities and accountability for each data product
  • Set minimum documentation requirements and quality benchmarks that must be met for every data product, ensuring consistency and reliability across the platform
  • Collaborate with stakeholders to refine definitions and expectations, integrating feedback to optimize the model
  • Document step-by-step procedures for ingesting data, creating new data products, and publishing them securely within the platform
  • Design simple, repeatable workflows that can be easily followed by users across different teams, reducing friction and promoting best practices
  • Provide guidance on safe and compliant data handling, emphasizing ease of use while maintaining data integrity
  • Facilitate training sessions or workshops to onboard users to these processes
  • Establish a centralized documentation strategy and enforce standards for data product descriptions, ownership attribution, and business context, creating a single source of truth for platform procedures and governance details
  • Implement discoverability mechanisms (e.g., searchable catalogs, metadata tagging) and develop minimal validation requirements to help users find relevant data products while ensuring essential quality and compliance checks
  • Establish baseline access control principles and define pragmatic, scalable approaches to data quality management and stewardship, safeguarding data while enabling broad, responsible usage
  • Design a lightweight governance cadence, such as regular check-ins or reviews, integrating governance activities with platform usage metrics and developing mechanisms for feedback and iteration as the platform matures
Required Qualifications:
  • 8+ years of experience in a data-focused consulting or operations role
  • Background in data governance, data management, or data product operations, with proven experience in implementing effective operating models and processes
  • Capability to define and operationalize frameworks and workflows in dynamic environments
  • Familiarity with Microsoft Fabric and Purview concepts, including data cataloging, lineage, and governance capabilities
  • Exceptional documentation and communication skills, capable of translating complex concepts into clear, actionable guidance for diverse audiences
  • Experience working collaboratively with cross-functional teams, adapting approaches as needed to meet organizational objectives
  • English language proficiency at an Upper-Intermediate level (B2) or higher
Benefits:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning and Udemy
  • Free English classes with certified teachers
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Four trust days per year for personal needs
  • Discounts for fitness clubs
  • Benefits package (hotels, restaurants, stores and services)
Nice To Have:
  • Expertise in core DataOps
  • Proficiency in data management
  • Skills in documentation and specifications
  • Competency in stakeholder management
  • Technology Consulting
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