Chief Data Product Strategist

hace 1 mes


Guadalajara, Jalisco, México Finastra A tiempo completo

Company Overview

Finastra is a leading fintech company that provides innovative solutions to the financial services industry.

Salary

The estimated salary for this position is $120,000 - $180,000 per annum, depending on experience and location.

Job Description

We are seeking a Chief Data Product Strategist to play a key role in the creation and execution of advanced data-driven solutions. As a Senior Data Product Owner, you will work at the intersection of business strategy, technology, and analytics, collaborating with cross-functional teams to define product roadmaps, prioritize features, and ensure the delivery of high-value, data-centric solutions.

Key Responsibilities:

  • Define Vision and Strategy: Participate in defining the vision, strategy, and roadmap for data products that align with business goals.
  • Prioritize Features: Prioritize product features based on market needs, business objectives, and technical feasibility.
  • Ensure Alignment: Ensure product alignment with key business stakeholders and engineering teams.
  • Work with Teams: Work closely with data scientists, engineers, and business analysts to ensure seamless product delivery.
  • Gather Requirements: Gather and translate business requirements into detailed product specifications.
  • Facilitate Communication: Facilitate communication and collaboration between technical and non-technical teams.
  • Drive Decisions: Utilize data analytics to drive product decisions and optimize features.
  • Monitor Performance: Monitor product performance, user feedback, and market trends to continually improve product offerings.
  • Develop Metrics: Develop metrics and KPIs to track product success.
  • Oversee Lifecycle: Oversee the product lifecycle from ideation to release, ensuring on-time delivery and within budget.
  • Lead Agile Ceremonies: Lead sprint planning, backlog refinement, and other Agile ceremonies to manage the development process.
  • Mitigate Risks: Mitigate risks and resolve project roadblocks through proactive problem-solving.
  • Conduct Research: Conduct market research and competitor analysis to identify opportunities for innovation.
  • Engage with Stakeholders: Engage with end-users and stakeholders to gather feedback and ensure products meet their needs.
  • Define Value Proposition: Define and communicate a clear value proposition for the product.

Required Skills and Qualifications

  • Proven Track Record: Proven track record in managing the full lifecycle of data or AI-driven products, from ideation to release.
  • Technical Specifications: Ability to translate complex business requirements into technical specifications for engineering teams.
  • Agile Methodologies: Experience with Agile methodologies and working in fast-paced, iterative development environments.
  • Cloud Platforms: Strong understanding of cloud platforms, particularly Azure, and their role in supporting data and AI solutions.
  • Key Technologies: Familiarity with key technologies, such as Python, Spark, SQL, and Databricks, to effectively guide product development.
  • ETL Processes: Experience with ETL processes and data architecture to ensure robust data pipelines.
  • Data Types: Experience working with both structured and unstructured data to inform product development.
  • Analytical Mindset: Strong analytical mindset with the ability to interpret data insights and drive product decisions based on customer needs and market trends.
  • Collaboration: Demonstrated ability to collaborate across teams, including engineering, sales, and marketing, to drive product success.
  • Communication: Strong communication skills, with the ability to clearly present product strategies and progress to leadership.

Educational and Experience Requirements

  • Degree: Degree in business, Computer Science, or a related field.
  • Experience: 5+ years of product management experience, ideally within the fintech space or related data-driven sectors.


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