Data Product Manager
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#AM64411 Τύπος: Πλήρης Απασχόληση
In one sentence
Data product professional to help us build and drive our AI & Data platform for Amdocs portfolio to create significant value and differentiator.
What will your job look like?
By understanding the market, customer challenges, and our product's unique abilities, you will have the opportunity to differentiate Amdocs vs. the competition.
Other activities include competitive analysis, early validation activities, and retrospective win/loss analysis.
Help us define, validate, and eloquent product projections over the next 1-3 years (product roadmap), including product strategy at the portfolio and corporate levels.
Use your data expertise and deep market understanding to innovate and launch capabilities that will solidify our competitive edge.
Translate market & technical knowledge, product strategy, and business cases into a successful product plan.
Define and own the accurate product readiness plan to ensure that the business is ready to sell, deliver, and support the product.
Support sales channels as the product and market specialist for the applicable product(s).
All you need is...
At least 5 years of experience in data management, big data, and data analytics space with a focus on the core platform foundation layer
At least 2 years of experience in product management delivering successful software products preferably in the telecommunication industry (B2B businesses)
Experience in driving products through a matrix of R&D, Sales, Marketing, Finance delivery teams, and Customer stakeholders.
Experience in supporting Pre-Sales activities and customer accounts/engagements.
Experience in analysis of market trends and customer needs in a relevant industry (or major enterprises), preferably with experience in the telecommunications industry.
Experience working with Engineering teams as a Product Manager and have demonstrable experience leading cross-functional teams to define, execute and iterate on large multi-team, multiquarter projects.
Deep data understanding, including:
Data Engineering Knowledge: Understanding of dimensional data modelling, ETL processes and data warehousing concepts. Familiarity with big data technologies like Hadoop, Spark, and data streaming services could be beneficial.
Database Proficiency: Experience with SQL and NoSQL databases, understanding of database design, and knowledge of query optimization.
Data Integration Expertise: Experience with data integration tools and platforms, understanding of APIs, and ability to work with different data formats (like JSON, XML, etc.).
Data Analysis Skills: Ability to work with data analysis tools, perform exploratory data analysis, and generate insights from data.
Familiarity with Data Low-Code Platforms: Understanding of how low-code platforms work, and how they can be used to simplify data engineering tasks.
Understanding of Analytics and Machine Learning: While not always required, having a basic understanding of analytics and machine learning concepts can be beneficial as it can help in building data products that are ML-ready.
Why you will love this job:
You will be able to use your experienced knowledge of market needs and product capabilities, and together we drive groundbreaking insights.
You will be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development.
You will have the opportunity to work in multinational environment for the global market leader in its field.
We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace!
If you are interested, please apply here.