Data Analytics Visionary
3 weeks ago
About the Role
The Edge Partnership is seeking a Data Analytics Visionary to lead the development of the Bank's Information & Analytics products. As a key member of our team, you will leverage a proven track record of delivering these solutions across global organizations with varying levels of business analytics maturity.
Key Responsibilities
- Engage with analytics leaders to embed advanced analytics into decision-making processes.
- Develop and deliver data-analytics platforms, whether on-premises, cloud-based, or hybrid.
- Bring exceptional expertise in information and analytics, particularly in data preparation, insight generation, and visualization using BI tools or similar platforms.
- Provide strong leadership in data management, ensuring the ethical and controlled delivery of analytics products.
- Act as an information and analytics visionary, driving the delivery of cutting-edge solutions through strategic internal and external partnerships.
- Shape the information and analytics agenda, collaborating with all business units to design and implement roadmaps for analytics adoption.
- Build and lead a global team of information and analytics experts, mentoring and fostering their growth to support the transformation of the organization.
Requirements
- Master's degree in a quantitative field or a 4-year Bachelor's degree with a minimum of 10 years of relevant experience in data.
- Preferred experience in Financial Services or adjacent consumer-centric industries.
- Strong understanding of fundamental data concepts, including data modelling, pipelines, quality, lineage, and warehousing methodologies.
- Proficient in cloud engineering and solution design, with experience using AWS data platforms like Redshift, EMR, RDS, Athena, and Glue.
- Expertise in Data-Ops, AI, and ML-Ops processes, platforms, and methodologies.
- Experience in microservices development, including building and maintaining scalable, fault-tolerant services and efficient server-side APIs.
- Skilled in REST services, JSON, Python 3, Linux/Unix shell scripting, and containerization.
- Expertise in modern data management methodologies and architecture.
- Experience in building and managing data pipelines using Spark or similar big data tools.
- Strong business acumen to identify scenarios where data and analytics can drive KPIs and improve business outcomes.
- Ability to clearly demonstrate the value of analytics interventions and drive decision-making.
- Proven ability to engage and manage relationships with C-suite and senior executives to drive compliance with data frameworks and guide change management processes.
- Capable of training and mentoring teams, internal business units, and stakeholders on data management frameworks and operational improvements.
- Familiar with agile methodologies and able to manage and deliver multiple projects effectively.
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