5 дней назад
Senior AI Governance & Enablement Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Governance & Enablement Analyst (AI/Data Analytics): Developing and maintaining the AI layer for business analytics, including Talk2Data, evaluation frameworks, and agent-ready data with an accent on data quality, dimensional modeling, and AI response validation. Focus on defining analytical requirements, measuring LLM output quality, coordinating cloud data platform work, and enabling adoption of AI-assisted analytics across the organization.
Location: Poland; work from the European Union region with a work permit required
Company
is a global AI-first digital transformation and engineering partner specializing in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products.
What you will do
- Own the development and maintenance of the AI layer supporting business analytics, including Talk2Data and agent-ready data.
- Define, implement, test, and release analytical components for Talk2Data.
- Build an evaluation framework for AI response quality using metrics, representative Q&A pairs, ground truth, and ongoing monitoring.
- Translate business needs and rules into requirements, acceptance criteria, and analytical specifications.
- Collaborate with Data Engineers on dimensional data models, data quality checks, code reviews, deployments, and cloud data validation.
- Enable adoption through documentation, presentations, AI Office Hours, proof-of-concept initiatives, and evaluation of AI tools and integrations.
Requirements
- At least 5 years of experience in an analytical role.
- Strong background in business analytics, data engineering, or a related discipline, bridging technical details and business objectives.
- Advanced SQL and experience with large datasets and cloud-based data platforms.
- Knowledge of data warehousing, dimensional modeling, and ETL/ELT processes.
- Hands-on experience with LLM-based AI tools and understanding of AI assistant evaluation, quality metrics, ground truth, and performance monitoring.
- Ability to work from the European Union region and hold a valid work permit.
Nice to have
- Experience with Databricks.
Culture & Benefits
- Work in a global team of AI, data, cloud, and engineering professionals.
- Collaborate with Data Engineers, Product Leads, Business Owners, and other stakeholders.
- Support knowledge sharing through enablement sessions and materials for technical and non-technical audiences.
- Contribute to AI-assisted analytics solutions used across the organization.
Hiring process
- CV review.
- HR call, interview, and client interview.
- Final decision.
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