indeed
Digital Product Manager
Daikin Applied
Plymouth, USA
Full-time
Onsite
USD 187000-197000 yearly
Discovered 3 weeks ago
Data product managementAgile methodologiesProduct roadmaps and backlog prioritizationData analyticsData engineering collaborationData models and pipelines
Role Overview
The Data Product Manager creates and manages product roadmaps that use Daikin’s data estate.
The role identifies business needs and pain points and defines data and analytical requirements for solutions.
Key Skills for This Role
Data product managementAgile methodologiesProduct roadmaps and backlog prioritizationData analyticsData engineering collaborationData models and pipelines
Full Job Posting
Role overview
The Data Product Manager creates and manages product roadmaps that use Daikin’s data estate.
The role identifies business needs and pain points and defines data and analytical requirements for solutions.
Product and stakeholder responsibilities
- Manage roadmaps, backlog priorities, product increments, epics, product narratives, and delivery timelines.
- Elicit requirements and collaborate with stakeholders to understand customer needs, audiences, and personas.
- Partner with UI/UX, development, product, business, data engineering, and analytics teams.
- Identify data gaps and work with digital leaders on new data sources or datasets.
- Champion data-driven decision-making and establish KPIs for initiative effectiveness and adoption.
Data responsibilities
- Leverage the data and analytics platform to ingest, curate, and deliver data for roadmap execution.
- Translate business requirements into scalable data solutions.
- Understand regulations and limitations that apply to data use.
Minimum requirements
- Bachelor’s degree in Data Science, Data Analytics, or a related quantitative Engineering field.
- Seven years of experience in data product management, data science, product management, or a related data and analytics product management occupation.
- Experience with Agile data product roadmaps, epics, features, and backlog prioritization.
- Experience working with data engineering and analytics teams on scalable data models and pipelines.
- Experience defining and tracking KPIs and collaborating with cross-functional stakeholders.
- Experience with enterprise data platforms, data governance, data quality, and regulatory requirements for data use.
- Experience using SQL and Python for data analysis, validation, and aggregation.
- Experience with Agile tools and methods, including Azure DevOps (ADO).
Work arrangement
- May work remotely two days per week.
Pay
- Pay range is $187,000 to $197,000 per year.
Employment screening
- Employment is contingent on required pre-employment checks, subject to applicable law.
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