Manager, Information Management

About the role

The individual filling this role (Manager, Information Management) will be part of a team managing data assets owned by US IWPB (International Wealth & Premier Banking) Data & Analytics. This includes partnering with our offshore Data Management team and providing leadership on all data processes that provision data in the analytical Data Warehouse or data marts for use by stakeholders across multiple functions. They will also partner with IT teams and Business teams to serve and the conduit and the orchestrator of data solutions build encompassing all stages in the development life-cycle including planning, design, development, implementation, quality control and maintenance.

Responsibilities

• Act as a key business translator and liaison between business stakeholders and delivery teams (data analysts, engineers, campaign/communications operations where relevant) to ensure requirements are clear, feasible, and outcome-focused.
• Retain a hands-on capability to self-deliver key analyses and data deliverables where needed, alongside driving execution through teams.
• Partner with Local Business, Technology, Group Data & Analytics, Risk, Compliance, and Operations leaders to align enterprise data initiatives to priority use cases and value streams.
• Drive end-to-end data governance and data management disciplines, including data ownership, data quality, metadata management, lineage, retention, access controls, and issue management—ensuring data is trusted, discoverable, and fit for purpose.
• Own the data product portfolio, including curated datasets, business metrics, analytical assets, and reusable data products.
• Establish and run fit-for-purpose quality control processes so data and data-driven outputs are delivered with strong controls and “right-first-time” execution.

Requirements

• Proven and progressive analytic experience or equivalent, preferred in Data Product Management or Data warehousing with exposure to business reporting & analytical deliverables.
• Master’s degree preferred / Bachelor’s degree required in information systems, data management, data analytics, business, statistics, economics, finance or operation research field.
• Excellent quantitative & analytical skills. Understanding and experience of warehouse data modeling, data lineage management, technical data transformation documentation and implementation.
• Proven problem solving, planning, project management and decision-making skills.
• Proven ability to analyze data, develop insights and recommend business strategy changes with associated financial benefits in terms of efficiency and functionality.
• Strong interpersonal skills, communication skills, and ability to support & supervise less experienced analysts both locally and offshore.
• Demonstrated ability to manage multiple data product implementation projects, develop project plans, communicate with Senior Management & Stakeholders, track & guide development work.
• Understanding of ETL (Extract/Transform/Load) and data pipelines implementation needed. Ability to trace transformation of data across the different stages in pipeline, detect issue points and recommend solutions.
• Experience working in Cloud environment preferred.
• Strong knowledge and experience in SAS is preferred.
• Strong SQL knowledge required.
• Knowledge of Linux/Unix platform with basic scripting is a plus.
• Financial Industry experience preferred.

Qualifications

• Proven and progressive analytic experience or equivalent, preferred in Data Product Management or Data warehousing with exposure to business reporting & analytical deliverables.
• Master’s degree preferred / Bachelor’s degree required in information systems, data management, data analytics, business, statistics, economics, finance or operation research field.
• Excellent quantitative & analytical skills. Understanding and experience of warehouse data modeling, data lineage management, technical data transformation documentation and implementation.
• Proven problem solving, planning, project management and decision-making skills.
• Proven ability to analyze data, develop insights and recommend business strategy changes with associated financial benefits in terms of efficiency and functionality.
• Strong interpersonal skills, communication skills, and ability to support & supervise less experienced analysts both locally and offshore.
• Demonstrated ability to manage multiple data product implementation projects, develop project plans, communicate with Senior Management & Stakeholders, track & guide development work.
• Understanding of ETL (Extract/Transform/Load) and data pipelines implementation needed. Ability to trace transformation of data across the different stages in pipeline, detect issue points and recommend solutions.
• Experience working in Cloud environment preferred.
• Strong knowledge and experience in SAS is preferred.
• Strong SQL knowledge required.
• Knowledge of Linux/Unix platform with basic scripting is a plus.
• Financial Industry experience preferred.

Skills

• Proven and progressive analytic experience or equivalent, preferred in Data Product Management or Data warehousing with exposure to business reporting & analytical deliverables.
• Master’s degree preferred / Bachelor’s degree required in information systems, data management, data analytics, business, statistics, economics, finance or operation research field.
• Excellent quantitative & analytical skills. Understanding and experience of warehouse data modeling, data lineage management, technical data transformation documentation and implementation.
• Proven problem solving, planning, project management and decision-making skills.
• Proven ability to analyze data, develop insights and recommend business strategy changes with associated financial benefits in terms of efficiency and functionality.
• Strong interpersonal skills, communication skills, and ability to support & supervise less experienced analysts both locally and offshore.
• Demonstrated ability to manage multiple data product implementation projects, develop project plans, communicate with Senior Management & Stakeholders, track & guide development work.
• Understanding of ETL (Extract/Transform/Load) and data pipelines implementation needed. Ability to trace transformation of data across the different stages in pipeline, detect issue points and recommend solutions.
• Experience working in Cloud environment preferred.
• Strong knowledge and experience in SAS is preferred.
• Strong SQL knowledge required.
• Knowledge of Linux/Unix platform with basic scripting is a plus.
• Financial Industry experience preferred.

Benefits

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, race, national origin, ethnicity, disability or medical condition, genetic information, military or veteran service, religion, creed, sex, gender, pregnancy, childbirth, caregiver status, marital status, citizenship or immigration status, sexual orientation, gender identity or expression or any other trait protected by applicable law.

Pay

Your final fixed pay offer will depend on the candidate and several variables, including but not limited to, role responsibilities, skill set, depth of experience and education, licensing/certification requirements, internal relativity, and specific work location.

Schedule

Details regarding the schedule will be provided during the interview process.