Data Product Manager
Odesa-remote
AUTODOC
Curious minds, adventurous experts and tech-savvy professionals - one team, one billion euros revenue. Catch the ride!Job Description
Responsibilities:
Optimizations of business processes
Sets success metrics for epics, issues, and tracks post-launch metrics
Researches and defines category vision and strategy
Ensures product completeness
Evaluates potential and fitting products for acquisition by AUTODOC
Develops the program vision and roadmap
Creates and manages the product backlog
Defines releases and program increments
Identifies the potential risks to the product's success and develops contingency plans to mitigate them
Required Experience:
A strong understanding of data product management principles and methodologies
Domain area expertise: user behavioral data analytics (internal tools for Google Analytics, apps flyer, amplitude, heepio etc.)
Performing extensive domain and market research to determine product vision and strategic roadmap
Building rapport with stakeholders to align around priorities and responsibilities
Helping the company and stakeholders understand and extract value from their data
Defining success metrics: product effectiveness, delivery, process metrics etc.
Defining product artifacts for each product lifecycle stage
Familiar with prioritisation frameworks
Can ensure the solution is viable
Adaptability and flexibility
Strong communication and analytical skills
Ability to identify and solve problems effectively
Understands how to lead products to success
Experience in product management 7+ years
Experience with technological data products
Grade Skills & Skill Level:
Core:
- Familiarity with data visualization tools and techniques.
- Experience with cloud platforms and technologies (e.g., AWS, Azure, Google Cloud).
- Knowledge of machine learning and AI technologies and their applications in data products.
- Skills in data engineering to build data products
- Skills in data analysis and data science to understand how those products will be used
- Skills in data platform development, coding pipelines, managing data quality monitoring
Builds Data-Driven Solutions, takes decisions based on Data
Has knowledge of standard product management tools specified by project needs (Amplitude, BI tools, Balsamiq, Google Analytics, etc.)
Conducts market, customer, and competitor research to understand the market landscape and customer needs to develop successful data products.
Gathers customer insights
Defines metrics to track progress, and sets KPIs and OKRs.
Researches and defines product vision and strategy
Drives squad strategy - with no/minimal help
Drives multi-squad/zone strategy - with some help
Collaborates with Architect to understand and define stack, workload, ballpark delivery estimates
Uses AB testing successfully
Nice to have skills:
Skills in data engineering to build data products
Skills in data analysis and data science to understand how those products will be used
Skills in data platform development, coding pipelines, managing data quality monitoring
Leadership:
Communicates clearly in meetings
Participates actively in group meetings
Ability to influence and persuade people
Solves potential problems with other squads/functions and avoids unnecessary conflict
Writes and gives big presentations - with the help
Leads effective brainstorming with others
Familiar with Scaled Frameworks
Functional:
Sets timelines, defines milestones and tracks progress
Delivers major products with little-no bugs on time
Follows the implementation and delivery schedule
Creates BRD, PRD, and Specifications
Setts success metrics for epics, issues, and tracking post-launch metrics
Traces a user issue (or set of issues) back to the underlying problem
Ability to analyze product performance data, and identify trends in the market
Story writing and bug/features writing (for example, SMART Tasks Description and so on)
Writes clear workflow emails
Writes specs/stories for big features and small products with little-no errors
Brainstorms constructively with others
Provides the best solution for the product and defends product management point of view
Cross-Functional:
Resolves conflicts and handles difficult conversations with stakeholders from different departments.
Articulates business logic to technical partners
Anticipates implementation challenges with a particular proposal
Collaborates with cross-functional teams, including engineers, designers, sales and so on
Uses survey tools successfully and without bias
Empathizes with customers, stakeholders, and cross-functional teams to understand their needs
Leads in-person or remote interviews without bias
Uses remote usability testing successfully and without bias
Competitive salary based on your professional experience
Stable employment in the fast growing international company
Wide benefit system
Dynamic work environment
Ability to influence business and its results
Professional growth — you will attend free external and internal courses
Paid business trips and payment for participation in conferences
Paid corporate language classes (English, German, Polish)
Join us today and let’s create a success story together!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Amplitude AWS Azure Data analysis Data Analytics Data quality Data visualization E-commerce Engineering GCP Google Cloud KPIs Machine Learning Market research OKR Pipelines Research Testing
Perks/benefits: Career development Competitive pay Conferences
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