Job Purpose: Drive development of analytics products for data and digital transformation across Client Group.
Job Responsibilities:
Leader to create Client's Information & Analytics Products. Proven experience in successfully delivering information & analytics products across global organizations with various levels of business analytics maturity, and the ability engage with analytics leaders of Client's businesses to embed state-of-the-art analytics informed decision making.
Thought leader in enabling data architecture and delivery of data-analytics platforms - on-premise, cloud and hybrid
Exceptional information & analytics experience & technical skills. State-of-the-art expertise across, data/information preparation, data insight & visualization using BI (or similar tools), and advanced data prediction using AI, ML, DL, etc.
Strong data management experience & technical skills. State-of-the-art expertise in data management to ensure the analytics products are appropriate/ethical and well controlled.
Information & analytics visionary. Envisage and deliver leading edge information & analytics products to Client's businesses, strategically partnering both internally and externally to deliver best in class products.
Be a trusted partner. Shape the information & analytics agenda at Client, and work with all of client's businesses in laying out their information & analytics adoption roadmaps.
Create a strong delivery team. Lead, mentor and grow a global team of information & analytics experts capable of transforming Client.
Qualification & Core Skills requirement:
Masters or Bachelor degree in quantitative fields (Computer Science, Statistics or similar) with minimum of 10 years of relevant data experience.
Preferred experience in Financial Services and Other adjacent Consumer centric business
Strong understanding of fundamental data concepts (data modelling, data pipelines, data quality, lineage etc.) and data warehousing methodologies
Strong understanding of building/architecting and/or managing data platforms. Conversant with data architecture paradigms
Hands-on with data tools and technologies, must have strong Python and SQL skills with experience in BI tools such as Tableau and PowerBI
Experienced with Data-Ops, ML-Ops processes, platforms and methodologies
Deep understanding of data management technologies (data catalogue, data quality management), enterprise and Cloud technologies
High acumen to identify business scenarios and use data and analytics to solve and drive business KPIs.
Understanding of various databases and platforms for data science.
Ensure upkeep of the platform operationally working closely with technology team
Ensure platform adoption and work with respective teams for data onboarding to the platform and upkeep of the same
Understanding of core business functions to apply analytics in specific areas and drive change management.
Clear understanding of value driven by analytics interventions and able to drive decision making.
Familiar with core business functions and associated data roles and responsibilities (owner, steward, custodian, consumer) to design and steer compliance with data governance requirements.
Familiar with data-driven approach and use of analytics for risk management and controls monitoring for data management framework compliance and enhancements.
Be able to connect and manage relationship with C-Suite to drive data framework compliance and plan change management processes wherever necessary.
Understand and utilize design thinking in executing projects.
Train and mentor teams and internal business units and stakeholders and data management framework requirements, improvements and operationalization.
Understand agile ways of working, and able to manage and deliver multiple projects effectively. Can plan, requirements and dependencies; manage complex analysis and enable necessary reporting.
Ability to make decisions independently and in line with corporate philosophy, professional ethics, compliance, risk management and Client code of conduct.