- Identify the organizations data engineering and data science needs by collaborating with multiple stakeholder teams.
- Define the project/product benefits and success criteria, articulate the product requirements, along with the priorities and arrive at executable roadmaps.
- Make Hypotheses and articulate Proof of Concept experiments to test the business viability of the hypotheses.
- Champion the mission of data engineering/science team vision and objectives and translate them to internal customer benefits.
- Understand technical implementation at the architecture level and propose technical alternatives when necessary.
- Design metrics, reports, dashboards and BI solutions
- Closely collaborate with execution teams including the technical program managers, engineering and QA teams to implement Agile project execution process.
- Influence technical decisions in working with large, cross-functional teams.
- Work with various teams on data integration projects, bringing in data from multiple internal and external data sources.
- Constantly communicate our vision, features, priorities, deliverables, and goals to our stakeholders via program documentation, launch announcements, release notes, brown bags, seminars, user trainings.
- Contribute to the organizations overall data engineering and data science strategy and get buy-in from executive decision makers.
- Capable of approaching challenges/problems both laterally across the systems and domains, and vertically drilling down to subsystems and elements involved, and reconciling gaps and contradictions
- The ideal candidate will have the following qualifications and relevant evidence of success.
- Bachelors, Masters, or equivalent experience in Engineering, Computer Science, or related technical field.
- 4+ years of experience in Technical Product Management of cross-functional projects.
- 7+ years of experience in data engineering, business intelligence and data science.
- Hand-on experience with data warehousing, data architecture, modeling, data analysis, trends and statistical analysis.
- Hands-on Experience in Big Data tools, using Hadoop, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes.
- Hands-on big-data and analytics project management experience.
- Strong technical experience in large distributed systems, Data Warehousing/Data Lake at scale
- Experience in managing and executing large-scale, complex technical projects and delivering high quality products.
- Practical knowledge of Agile project execution and Agile iterative process.
- Great ability to identify and translate emerging trends and customer needs into workable product proposals.
- Solid technical aptitude and an ability to contribute to technical designs, challenges, and risks.
- Metrics driven: Experience determining effective program KPIs and using them to measure program success and issues.
- Experienced in project management. Familiar with both Agile and Waterfall methodologies and able to apply them where best suited.
- Good at facilitating discussions. getting the right people in the room, let conversations run their course while they are productive, move them toward consensus when possible, and make hard decisions or escalate, as required.
- Expert knowledge of Atlassian Jira and Confluence
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Senior Product Manager Data Warehouse - Palo Alto, United States - Plume Design Inc
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
Senior Product Manager - Data Warehouse
at Plume
Palo Alto, CA
Plume is searching for a senior leadership candidate managing our Data Warehouse to launch our B2B2C core product lines.
The ideal candidate should also be
obsessed
about product and consumer experience for users across Plume's portfolio of products.
Life at Plume
At Plume, we believe that technology isn't about moving faster, it's about making lifes moments better.
Which is why weve built the world's first, and only, open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond.
Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spacesand human experiencesat massive scale.
We now deliver services to over 35 million locations globally and have managed over 1.2 billion devices on our platform.
Were expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years.Our customers include many of the world's largest Communications Service Providers (CSPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data.
With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation.
We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we cant do it exceptionally well, we dont do it.
Its how we've assembled a team of world-class builders, thinkers, and doers. And its how were reinventing whats possible every day.Plume is the industry leader in the smart home and networking industry, launching and scaling the worlds largest SDN based services delivery platform managing every aspect of customer homes and small business.
Plumes technology stack is among the deepest in silicon valley, covering embedded firmware, mass data pipeline and processing, big data analytics, SDN controller framework, customer API integrations, WebUI management interfaces and consumer facing mobile apps.
Services offered to customers include whole-home WiFi services, AI based home cyber security, content filtering parental controls, and mass deployment management tools.
Responsibilities:
Qualifications:
About Plume
As the creator of the only open, hardware-independent, cloud-controlled experience platform for CSPs and their subscribers, Plume partners with over 250 CSP customers, including some of the worlds largest such as Comcast, Charter, Liberty Global, and J:COM.
Using OpenSync, the most widely supported open-source, silicon-to-cloud framework for smart spaces, Plumes software-defined network allows CSPs to decouple their service offerings from hardware and rapidly curate and deliver new services over a multi-vendor, open-platform architecture.
Backed by investors such as Insight Partners and SoftBank Vision Fund 2, Plume is now valued at $2.6B, having added over $500M in funding in 2021 alone.
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