Data Technology Consultant

Job description

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

Requirements

- 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

Nice to have

- Expertise in core DataOps

- Proficiency in data management

- Skills in documentation and specifications

- Competency in stakeholder management