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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.

Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce

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