Contract Duration: 6 Months - extension/conversion is possible
Location: Seattle, WA - Hybrid 3 days a week
Pay Rate: $70 - $75/hr
Team culture/work environment:
Fast paced technical team
Relatively smaller size team (15)
Owning platforms that are critical within development
Cross functional working environment
Support of the internal analytics support team
Ability to be transparent, connect regularly with the team, acting inclusively, work efficiently
Key projects:
Support the tools and features
Very large project including Tableau and moving it to cloud based server (participation varies based on skillset)
Daily Responsibilities:
Manage product planning and execution through day-to-day collaboration and decision making with a cross-functional team including architects, engineers, and business or subject matter experts.
Maintain and prioritize the product backlog to align with business priority and technology strategy by articulating the business challenges as technical user stories.
Build and evangelize product roadmaps broadly to various levels of leadership.
Drive technical solution for large features/technically complex features independently.
Create functional and technical specifications to ensure engineering team has needed information on requirements and definition of done.
Define product performance and effectiveness metrics that measure and benchmark product success and adoption.
Help resolve technical blocking issues and coordinates solutions across multiple technical teams.
Identify technical tradeoffs, escalates risks, and manages mitigation in collaboration with neighbor teams.
Communicate effectively with technology and business teams independently.
Act as a coach/mentor to team on various technical product manager competencies
Experience:
Expertise in working with enterprise analytics tools, in particular Tableau, Power BI, and Alteryx
Must be familiar with MicroStrategy
Agile Methodologies
What sets a candidate apart?
Experience with big data architectures, usage patterns and performance challenges on any of the public clouds - AWS, Azure or GCP.
Experience with/ knowledge of SQL, Spark, Python.
Experience in SaaS application configuration management and rollout.