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Data Product Manager

Remote: 
Full Remote
Work from: 
Poland

Offer summary

Qualifications:

3-5 years in product management or data analytics., Bachelor's degree in relevant field., Experience with data analytics tools and visualization., Familiarity with cloud data platforms..

Key responsabilities:

  • Define vision and strategy for data products.
  • Lead cross-functional teams to build data products.

SoftServe logo
SoftServe XLarge https://www.softserveinc.com
10001 Employees
About SoftServe
SoftServe is a premier IT consulting and digital services provider. We expand the horizon of new technologies to solve today's complex business challenges and achieve meaningful outcomes for our clients. Our boundless curiosity drives us to explore and reimagine the art of the possible. Clients confidently rely on SoftServe to architect and execute mature and innovative capabilities, such as digital engineering, data and analytics, cloud, and AI/ML. Our global reputation is gained from more than 30 years of experience delivering superior digital solutions at exceptional speed by top-tier engineering talent to enterprise industries, including high tech, financial services, healthcare, life sciences, retail, energy, and manufacturing. At SoftServe, we live by our values. Trust, teamwork, growth, innovation, willingness to help, and exceeding expectations are engrained in everything we do. We partner with major technology players, such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, Salesforce, NVIDIA, MuleSoft, VMware, and Odoo, to give clients a competitive advantage in the market. Founded in 1993, our global firm is headquartered in Austin, Texas, USA, and Lviv, Ukraine. Visit our website, blog, media, and news pages for more information. Blog: softserveinc.com/blog Media: softserveinc.com/media News: softserveinc.com/news
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Job description

WE ARE

SoftServe is a global digital services and consulting company founded in 1993. We work on 2,000+ projects (150+ in Retail) with clients in the USA, Europe, LATAM and APAC.

Our global Center of Excellence team has over 100+ of the most diverse, talented, and engaged Solution Consultants, Business Analysts, and Product Managers with 12+ locations worldwide.

We are a cross-functional, highly impactful, and high-visibility team whose mission is to drive digital transformation strategy and implementations. We advise our Fortune 500 customers at the cutting edge of technology while staying highly relevant to the specifics of their industry.

We partner with technology and engineering leadership to deliver strategic decision-making and efficient execution of digital advisory operations for the enterprise at all phases of the digital transformation journey.

IF YOU ARE

  • Experienced in product management, data analytics, or a related role for 3-5 years
  • Holding a relevant Bachelor's degree in computer science, data science, business, or a related field
  • Demonstrating a track record of successfully managing and launching data products
  • Advanced in data analytics tools and languages, such as SQL, Python, or R
  • Proficient with data visualization tools like Tableau or Power BI
  • Possessing a deep understanding of data operations, including architecture, governance, modeling, quality management, and extract-transform-load (ETL) processes
  • Knowledgeable about data warehousing, big data storage, data mesh concepts, data integration, and interoperability
  • Skilled in project management with meticulous attention to detail
  • Aware of current trends and developments in data science and product management
  • Experienced with machine learning and AI
  • Familiar with cloud data platforms like AWS, Google Cloud, or Azure
  • Proficient in analysis and problem-solving
  • Possessing excellent communication and interpersonal skills
  • Used to working collaboratively in a fast-paced, cross-functional environment


AND YOU WANT TO

  • Define vision, strategy, and roadmap for data products
  • Identify opportunities to leverage data for driving business value
  • Collaborate with stakeholders to understand their needs and translate them into data product requirements
  • Lead cross-functional teams and collaborate with data scientists, engineers, and designers to build and launch world-class data products
  • Develop metrics and KPIs to measure the success of data products
  • Use data analytics tools to monitor product performance and user engagement
  • Foster a culture of data-driven decision-making within the organization
  • Champion data literacy within the organization and drive the adoption of data products
  • Ensure data products comply with relevant regulations and privacy standards
  • Implement best practices for data security and governance


TOGETHER WE WILL

  • Win big and challenging deals, sign new logos, and work with world-leading companies
  • Be a trusted advisor and the catalyst for the transformation and innovation agenda for world-leading companies
  • Assimilate best practices from experts, working in a team of top-notch experts, learn from leaders from different organizations
  • Coordinate and run presentations of work on international events: conferences, meetups, and specialized events
  • Use our access to expert communities, paid certifications, and professional events






SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Data MiningProduct ManagementPython (Programming Language)SQL (Programming Language)Tableau (Business Intelligence Software)Power BIModel BuildingData WarehousingQuality ManagementData IntegrationGoogle Cloud Platform (GCP)Amazon Web ServicesInteroperabilityData StorageMachine LearningArchitectural TheoryProject ManagementData ProcessingData VisualizationArtificial IntelligenceData Management PlatformsETL (Extract Transform Load)Microsoft Azure

Other Skills

  • Governance
  • Social Skills
  • Collaboration
  • Communication
  • Problem Solving
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