Must have :-ASSET Management and ML / data science Job Description
Product Strategy & Roadmap: Develop and execute the product strategy and roadmap for products (data products nice to have), ensuring alignment with business goals and customer needs.
Stakeholder Collaboration: Work closely with cross-functional teams, including engineering and business, to define product requirements and deliver high-quality data products.
Data Management: Oversee the collection, storage, and analysis of data to ensure data integrity, security, and accessibility.
Performance Monitoring: Establish key performance indicators (KPIs) and metrics to measure the success of data products and drive continuous improvement. Compliance: Ensure all data products comply with CG regulations and standards
Templatization: Bring industry standard processes and templates for product lifecycle and work towards their adaptation.
Qualifications:
Technical Skills: Proficiency in data analytics tools (e.g., SQL mandatory, Python nice to have), business intelligence platforms (e.g., Tableau, Power BI nice to have), and data management systems.
Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data and make data-driven decisions.
Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
Leadership: Proven ability to lead cross-functional teams and manage multiple projects simultaneously.
Industry Knowledge: Good understanding of asset management lifecycle and related business data.,
Key Skills:
ML; data science; asset management Product Manager
