Negotiable
Undetermined
Remote
United Kingdom
Summary: The Product Manager role involves leading the delivery of data products on Azure for life science clients, ensuring alignment with their strategic goals. The position requires collaboration with cross-functional teams to gather requirements and prioritize features while providing technical guidance on data architecture. The role emphasizes continuous improvement based on product performance and user feedback. Strong technical skills in SQL, Python, and cloud platforms are essential for success in this position.
Key Responsibilities:
- Lead the end-to-end delivery of data products on Azure.
- Collaborate with cross-functional teams to gather requirements and prioritize features.
- Provide technical guidance on Azure services and data architecture.
- Oversee project timelines, budgets, and resources.
- Monitor product performance and user feedback for continuous improvement.
- Ensure optimal performance, scalability, and security of data products.
- Utilize strong understanding of data architecture, ETL pipelines, APIs, and cloud platforms.
- Communicate effectively with stakeholders and manage relationships.
- Apply Agile/Scrum methodologies in project management.
Key Skills:
- Strong understanding of data architecture and ETL pipelines.
- Proficiency in SQL and Python.
- Familiarity with BI tools (e.g., Tableau, Power BI).
- Excellent communication and stakeholder management skills.
- Experience with Agile/Scrum methodologies.
- Technical guidance on Azure services and data architecture.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: Product Manager
Location: UK, Netherlands & Denmark - Remote (Occasional visit to Client's Office in France)
Duration: 6 Months to start (Extendable to 12 Months)
Employment Type: Contract
B2B Roles & Responsibilities:
- Technical Product Manager: Lead the end-to-end delivery of data products on Azure, ensuring alignment with the life science customer's needs and strategic goals.
- Collaborate closely with cross-functional teams, including data & BI engineers, architects, and business stakeholders, to gather requirements and prioritize features.
- Provide technical guidance on Azure services and data architecture, ensuring optimal performance, scalability, and security of data products.
- Oversee project timelines, budgets, and resources, ensuring timely delivery and adherence to quality standards.
- Continuous Improvement: Monitor product performance and user feedback, driving continuous improvement and innovation in data solutions.
- Strong understanding of data architecture, ETL pipelines, APIs, and cloud platforms (AWS, Azure, GCP).
- Proficiency in SQL and Python; familiarity with BI tools (e.g., Tableau, Power BI).
- Excellent communication and stakeholder management skills.
- Experience with Agile/Scrum methodologies.