5 часов назад
Senior Data Product Manager (Data)
150 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Product Manager (Data): Owning and delivering data products from opportunity discovery through adoption and value realization with an accent on product strategy, data quality, scalable platforms, and measurable business outcomes. Focus on translating business needs into data products, prioritizing use cases, defining user stories and acceptance criteria, and driving adoption across cross-functional teams.
Location: Onsite in Austin, Texas or Southlake, Texas
Salary: USD $150,000–$160,000 per year, plus eligible bonus or incentive opportunities
Company
Technology Services develops reliable technology products that support investing and financial planning.
What you will do
- Own the strategy, roadmap, lifecycle, and value realization of one or more data products.
- Define product vision, target users, use cases, data domains, capabilities, success metrics, and business outcomes.
- Lead discovery and prioritization sessions, assess feasibility, and sequence delivery based on impact and dependencies.
- Translate business needs into epics, user stories, and acceptance criteria while aligning business and technical implementation.
- Partner with data engineering, platform, and architecture teams to build scalable, reusable, governed data products.
- Drive delivery, onboarding, adoption, KPI tracking, stakeholder alignment, and continuous product improvement using JIRA and Confluence.
Requirements
- 5+ years of professional experience, including 3+ years in project or product management.
- Bachelor’s degree.
- Experience owning data products and explaining the problem statement and delivery approach.
- Experience with data discovery, basic SQL validation, business requirements, user stories, and acceptance criteria.
- Ability to define and track product KPIs such as usage, adoption, data quality, time-to-insight, and business impact.
- Strong communication, collaboration, facilitation, structured problem-solving, and cross-functional leadership skills.
Nice to have
- Advanced degree in engineering, information systems, or business administration.
- Experience with modern data platforms such as Google BigQuery.
- Experience with metadata, data quality, data lineage, and other data management practices.
- Experience creating go-to-market and user adoption approaches for data products.
Culture & Benefits
- Regular in-office collaboration in the specified location.
- Health, dental, and vision insurance.
- 401(k) with company match and employee stock purchase plan.
- Paid vacation, volunteering time, parental leave, and family-building benefits.
- Tuition reimbursement and a 28-day sabbatical after five years of service for eligible positions.
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