6 дней назад
Senior Product Manager - Enterprise Data (AI)
139 455 - 188 676$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager - Enterprise Data (AI) (Enterprise Data/AI): Defining strategy, roadmaps, and measurable business outcomes for trusted enterprise data products supporting analytics, governance, operational decision-making, and AI-enabled experiences with an accent on data platforms, stakeholder alignment, and portfolio prioritization. Focus on translating business needs into product investments, managing tradeoffs across complex product portfolios, and coaching cross-functional product teams.
Location: Remote
Salary: $139,455–$188,676 per year
Company
provides financial services focused on helping people manage money and live balanced, generous lives.
What you will do
- Define the long-term strategy, vision, roadmap, and release priorities for a portfolio of enterprise data products.
- Develop data products supporting analytics, operational decision-making, governance, and AI-enabled experiences across corporate functions.
- Translate customer, user, and stakeholder needs into product hypotheses, investments, measurable outcomes, and KPIs.
- Prioritize work and manage tradeoffs across business and technology stakeholders within capacity constraints.
- Partner with business leaders, data engineers, architects, Product Owners, and delivery teams to align execution with business goals.
- Coach Product Owners and product teams on product management, discovery, and Agile practices.
Requirements
- Bachelor’s degree or equivalent work experience.
- 10+ years of relevant business experience, including experience as a Product Owner or in a similar role.
- Experience with enterprise data products, analytics, reporting, governance, or data platform initiatives in financial services or another highly regulated industry.
- Experience defining product strategy, roadmaps, measurable business outcomes, and investment priorities for enterprise products or platforms.
- Experience partnering with business leaders, data engineers, architects, and technical delivery teams.
- Expertise in Agile Product Management, stakeholder management, user research, technology management, and process design.
Nice to have
- Experience with Databricks, Snowflake, Power BI, Azure, or similar modern data platforms.
- Experience with data governance, metadata management, data quality, data lineage, or master data management.
- Product Management certification.
- Financial services experience in regulatory, compliance, operational, or risk-related domains.
- Experience managing budgets, business cases, return on investment, and product strategy across multiple products.
Culture & Benefits
- Remote work arrangement.
- Medical, dental, and vision insurance may be offered.
- 401(k), pension, health savings account, flexible spending account, and disability insurance may be offered.
- 20 days of paid time off, sick and safe time, paid company holidays, volunteer time off, and paid parental leave may be offered.
- Bonuses, well-being benefits, and employee assistance programs may be available.
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