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About the Role

The Implementation Manager will bring analytical rigor and process discipline to Wise Platform Verification. This role involves using data to understand verification processes across partners, identifying friction points and operational costs, and leading improvements from diagnosis through implementation and measurement. The mission is to transform complex partner-verification challenges into measurable implementation plans, trusted metrics, clear operating models, repeatable rollout playbooks, and automation opportunities.

Responsibilities

Map Wise Platform verification processes end to end, including partner models, control triggers, evidence flows, operational routing, RFIs, exceptions, and recovery paths.
Identify process and automation opportunities that reduce manual review, avoidable partner RFIs, misrouting, operational rework, and partner/customer disruption.
Define implementation plans for high-priority verification changes, including scope, owners, milestones, risks, launch gates, runbooks, training, adoption, monitoring, and escalation paths.
Build trusted KPI definitions, dashboards, launch scorecards, and weekly/monthly performance narratives that help the team make decisions.
Partner with Analytics and Data Science to validate data quality, segment impact, size populations, measure outcomes, and distinguish true performance changes from reporting or process artifacts.
Partner with Engineering to turn operational needs into implementable requirements while understanding technical constraints, dependencies, rollout paths, and migration risks.
Partner with Product Compliance, Risk, and Ops to make sure process changes meet control objectives, remain auditable, and work for the teams reviewing cases.
Support automation and process migration work, including moving fragile manual processes and legacy workflows toward scalable product or platform patterns.
Lead root-cause analysis for operational issues and partner-impacting verification pain points, then track fixes to closure and prevent recurrence through standards, monitoring, and documentation.

Requirements

Substantial experience in product analytics, data science, quantitative strategy or consulting, and have used analysis to change how a product or process works.
Hands-on with SQL and comfortable working through imperfect operational data.
Ability to define the unit of analysis, choose cohorts and denominators, validate data sources, size problems and explain uncertainty.
Ability to map complex processes, identify bottlenecks and failure modes, and determine which changes are likely to have the greatest impact.
Experience leading change across Product, Engineering, Data, Operations and Risk or Compliance teams.
Strong structured problem solving skills and ability to turn ambiguity into clear plans, metrics, decisions, and follow-through.
Comfortable working with data and SQL.
Ability to define useful KPIs, choose denominators and time windows, segment intelligently, and explain limitations.
Experience leading complex cross-functional implementations involving technical, operational, risk, compliance, data, or partner stakeholders.
Ability to distinguish between a process problem, a policy problem, a data problem, and a product or engineering problem.
Clear writing skills and ability to create documentation that helps teams make decisions and execute.
Ability to influence without formal authority and stay calm when priorities, requirements, or ownership are unclear.
Experience in fintech or another regulated, operationally complex industry is useful, but not required.
Experience with partner integrations, platform businesses, API-led operations, or B2B2x workflows.
Experience improving operations through automation, workflow redesign, routing, dashboards, internal tooling, AI/LLM-assisted processes, or data-quality improvements.
Experience with control monitoring, operational QA, assurance, incident analysis, remediation, or audit-ready documentation.
Experience working with globally distributed teams or multi-market rollout playbooks.

Skills

SQL
Process mapping
Data analysis
Quantitative strategy
Consulting
Structured problem solving
Cross-functional implementation
Automation
Workflow redesign
Data quality improvement
Control monitoring
Incident analysis
Remediation
Audit-ready documentation

Location

Remote

Work Type

Full-time

Experience Level

Substantial experience

Salary/Compensations

£115-150K
GBP 90000 - GBP 130000 - yearly

Benefits

Restricted Stock Units (RSUs)
A variety of other benefits

About the Company

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.
Wise is on a mission to make people's and businesses' lives easier and save them money when sending money internationally, spending abroad, or making and receiving international payments.
The company is creating an entirely new network for the world's money.

Equal Opportunity

For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.