As the Staff Customer Journey Analytics & AI Lead, you will serve as the lead for our enterprise customer journey analytics capabilities, focused on Adobe Customer Journey Analytics (CJA), Adobe Analytics and Adobe Experience Platform (AEP).
Responsibilities
Lead the strategy, roadmap and delivery of enterprise customer journey analytics capabilities using Adobe CJA, Adobe Analytics and AEP.
Partner with Marketing, Digital, Commercial and Technology stakeholders to translate business priorities into use cases, measurement requirements and analytics solutions.
Define customer and account journey measurement frameworks, including journey stages, KPIs, dimensions, attribution approaches and reporting standards.
Configure and maintain CJA connections, data views, derived fields, calculated metrics, filters and attribution settings.
Build and enhance Analysis Workspace projects, dashboards, journey visualizations, cohort analyses and reports that support business decisions.
Support the Compliance and Client Lifecycle Integrity (CLI) departments by simplifying access to data, automating processes and contributing to the development of AI into the tasks of the Compliance and Client Lifecycle Integrity departments.
Responsibilities
Process streamlining and automation
Data Stewardship
Reporting & Regulatory Support
Compliance Analysis
Ad-hoc Projects
Requirements
Master's degree in a Quantitative field, Engineering, Computer Science or Data Science
Lead data governance initiatives within the Commercial & Investment Bank, defining frameworks, standards, and operating models to strengthen data management and risk transparency.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Prepare executive-ready materials for governance forums, senior committees, audits, regulators, and client engagements
Support implementation of Data Owner and In-Business Chief Data Officer role accountabilities and responsibilities
Develop management information reporting, dashboards, scorecards, and training metrics to track performance and risk
Maintain governance documentation, operating models, standards, and controls to support consistent execution
Draft concise decision papers and presentations for senior stakeholders and external reviewers
Requirements
Nice to have: experience delivering data governance or data risk initiatives within an investment bank
Nice to have: familiarity with data privacy, data localisation, records retention, and access management expectations
Nice to have: knowledge of AI governance, model risk, machine learning lifecycle controls
Nice to have: experience coaching teams on data literacy and controlled adoption of new technologies
Translate business needs into effective capabilities for consumer priorities, drafting requirements, testing, and change management within Lilly’s Consumer Services Hub.
Compensation
$66,000 - $154,000
Responsibilities
Serve as business subject matter expert for assigned capabilities
Draft and groom business requirements
Translate complex business and technical concepts between stakeholders
Build test scenarios and support user acceptance testing
Support change management activities tied to capability enhancements
Lead governance and analytics for the First Line Risk & Control function at MUFG Bank (Europe) N.V. in Amsterdam.
Compensation
Gross salary based on experience and consistent with the market.
Responsibilities
Design and maintain the FLR&C MI and dashboard suite, including KRIs, RCSA status, control testing outcomes, control failures, issue/remediation status, incidents, overdue actions, data quality indicators and escalation metrics
Produce regular reporting packs for the Control Committee and related governance forums, ensuring materials are accurate, traceable, concise and linked to decisions, actions and escalation needs
Analyse trends across RCSA, KCT, KRIs, incidents, issues and remediation data to identify emerging themes, systemic weaknesses, recurring control gaps and areas requiring management attention
Develop and operate data quality controls across FLR&C source information, including completeness, consistency, timeliness, ownership, taxonomy alignment and documentation quality checks
Coordinate with business functions, FLRLs, Domain Specialist Owners, ORM and ECO to obtain data inputs, reconcile interpretations and support consistent reporting standards
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