9 дней назад
Technical Product Manager – Analytics Enablement (AI)
112 500 - 187 500$
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Описание вакансии
Текст:
TL;DR
Technical Product Manager – Analytics Enablement (AI) (analytics platforms and data products): Building secure, scalable analytics experiences that help data scientists, analysts, model developers, and governance teams access trusted data, models, compute resources, and workflows with an accent on user discovery, workflow optimization, and platform adoption. Focus on prioritizing roadmaps, validating capabilities through pilots and MVP testing, measuring adoption metrics, and maintaining governed access to analytics resources.
Location: Chicago, Illinois, United States; hybrid work with in-person responsibilities at an assigned office at least two days per week
Salary: $112,500–$187,500 annually
Company
provides data, analytics, and technology solutions that support customers and communities through trusted information and innovative products.
What you will do
- Represent analytics users, including data scientists, analysts, model developers, and governance teams.
- Discover and optimize analytics workflows, identifying friction and improving usability, efficiency, and reliability with engineering partners.
- Translate customer feedback and business objectives into product requirements, user stories, acceptance criteria, and prioritized backlogs.
- Partner with UX, engineering, architecture, governance, and product teams to design scalable analytics experiences.
- Validate platform capabilities through user interviews, prototype reviews, MVP testing, Customer Zero initiatives, and pilot programs.
- Manage roadmap priorities and monitor adoption, workflow completion, time-to-insight, and customer satisfaction metrics.
Requirements
- 5+ years of Product Management, Technical Product Management, or Product Owner experience supporting analytics, data, AI, or platform products.
- Strong understanding of analytics workflows, including data exploration, model development, experimentation, reporting, deployment, and lifecycle management.
- Experience working with data scientists, analysts, engineers, architects, and platform teams in customer-focused product development.
- Experience with customer discovery, user interviews, workflow analysis, usability validation, Agile backlog prioritization, and roadmap planning.
- Knowledge of cloud analytics and data platforms such as Databricks, Snowflake, BigQuery, Vertex AI, SageMaker, or Azure Machine Learning.
- Familiarity with product telemetry, adoption metrics, data governance, access management, privacy controls, and secure data access.
Nice to have
- Experience with analytics platforms, AI platforms, internal developer platforms, or self-service data products.
- Familiarity with Jobs-to-be-Done, Design Thinking, Lean Product Management, or Outcome-Driven Innovation.
- Experience leading Customer Zero programs, pilot initiatives, or user validation activities.
- Experience collaborating with UX research teams to improve customer journeys and engagement.
Culture & Benefits
- Hybrid work with a collaborative environment across Product, Engineering, UX, Architecture, Governance, and Business teams.
- Medical, dental, vision, HSA, FSA, life insurance, disability coverage, and wellness support.
- 401(k) with employer match, Employee Stock Purchase Plan, financial wellness resources, and career coaching.
- Tuition reimbursement, paid time off, up to 12 paid holidays, parental leave, caregiver support, and commuter benefits.
- Therapy, coaching, guided meditation, charitable matching, and paid volunteer time.
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