3 дня назад
Sr. Manager, Data Partnerships (AI)
158 900 - 198 600$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Manager, Data Partnerships (AI): Defining, certifying, and governing trusted business data definitions for AI-driven and self-service use with an accent on stakeholder alignment, data governance, and hands-on prototyping with Claude and Claude Code. Focus on resolving contested business definitions, evaluating data grain and sensitivity classification, and translating business needs into clear inputs for engineering teams.
Location: Shelton, CT, US
Base pay: $158,900–$198,600
Company
is a global restaurant and franchise business focused on franchisee profitability, brand growth, and long-term value.
What you will do
- Define business measures, data grain, dimensions, and trusted data definitions with stakeholders across the organization.
- Make final decisions on contested definitions and escalate disputes with significant financial, operational, or regulatory consequences.
- Build stakeholder relationships to understand business operations and translate them into data definitions and governance requirements.
- Independently certify definitions as trustworthy, using technical validation from the Data Foundation product team when needed.
- Use Claude and Claude Code to prototype definitions, explore data, and create concrete specifications for engineering.
- Review sensitive-data classifications and hand delivery requests to the Delivery team once they move from defining meaning to building solutions.
Requirements
- 5–8 years of experience translating business operations into data definitions, requirements, or governance.
- Experience maintaining a position with senior stakeholders during substantive disagreements.
- Technical grounding in data grain, certification decisions, basic SQL, and data engineering fundamentals.
- Hands-on ability to use Claude and Claude Code for prototyping and data exploration.
- Fluency in restaurant, franchise, and franchisee economics.
- Background in business analysis, data governance, analytics leadership, client success, or product success with strong data fluency.
Culture & Benefits
- Medical and life insurance plans.
- Pension, 401(k), or RSP options depending on country.
- Competitive bonus and mobility allowance.
- Tuition reimbursement and company holidays.
- Paid volunteering time.
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