обновлено 12 дней назад
Analytical Engineering Manager (AI)
36 600 - 41 600PLN
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytical Engineering Manager (AI): Leading the team responsible for trusted Gold-layer data models, canonical metrics, certified dashboards, and semantic layers that support self-serve analytics with Claude and Databricks Genie, with an accent on analytical engineering quality, stakeholder trust, and AI-powered data access. Focus on building governed data products, defining data contracts and SLAs, prioritizing automation and cost, and developing analytical engineers.
Location: Warsaw, Poland, with an office-centric hybrid schedule. Standard in-office days are Monday, Tuesday, and Thursday; working from home on Wednesdays is generally available, while Friday arrangements depend on the role.
Salary: 36,600–41,600 PLN gross per month, plus potential equity and other compensation components.
Company
Asana provides a platform for human and AI collaboration used by teams worldwide to achieve important goals.
What you will do
- Lead, hire, coach, and develop a team of Analytical Engineers while setting standards for data-model quality and stakeholder trust.
- Own the Gold layer and semantic-layer strategy across business domains, including curated data models, canonical metrics, dashboards, and Genie spaces.
- Build trusted, versioned data products with clear ownership, delivery cadence, and service-level agreements.
- Enable self-serve analytics by governing Gold tables, metric definitions, and metadata for Claude and Databricks Genie.
- Partner with Data Science, Data Engineering, Data Infrastructure, and business teams on data contracts, SLAs, prioritization, automation, and deprecation decisions.
- Manage team capacity, run-rate, and cost while making build-versus-buy and prioritization trade-offs.
Requirements
- 3+ years of experience managing or leading Analytical Engineers, Data Engineers, or Analysts.
- Advanced SQL, data modeling, semantic-layer design, and dbt or equivalent framework experience.
- Experience with modern warehouse or lakehouse platforms; Databricks is preferred.
- Demonstrated success shipping governed Gold tables, canonical metrics, semantic layers, and other trusted data products.
- Strong stakeholder management skills and the ability to translate ambiguous business needs into roadmaps and explain technical trade-offs.
- Sound judgment in prioritization, sunsetting low-value work, and managing data cost and run-rate.
Nice to have
- Familiarity with AI-native analytics, NL2SQL, Unity Catalog, Looker or LookML, and reverse-ETL or activation platforms.
- Curiosity about AI tools and emerging technologies, including Claude and Databricks Genie.
Culture & Benefits
- Contract of Employment in Poland with an option for 50% tax-deductible author’s-rights costs where applicable.
- Health insurance with dental and travel coverage through Lux Med.
- Vacation allowance, career growth budget, and home-office setup budget.
- Breakfast and lunch catering on office days, plus a gym or fitness card.
- Fertility and family-forming support, mental-health support, and group life insurance.
- MacBook with necessary accessories.
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