Data Mapping Lead - Enterprise Data Migration (Financial Services) (h/f)

Emagine Consulting; City of Westminster; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A high-end professional services consultancy is seeking a Data Mapping Lead for enterprise data migration in London. This role involves defining and governing data mapping specifications as the authoritative source for migrations. Interested candidates should have proven experience in data migration and mapping within financial services, strong communication skills, and a detail-oriented approach. The position offers a hybrid working model with a competitive salary of £600-£650 per day.

Qualifications

• Proven experience in data migration, mapping, or data analysis within financial services.
• Strong understanding of data structures and relational models.
• Demonstrated ability to produce detailed mapping specifications.

Responsibilities

• Own the end-to-end creation of data mapping specifications.
• Establish the Mapping Specification as the golden source for migrations.
• Facilitate workshops with stakeholders and drive decisions.

Skills

Data migration experience

Data mapping expertise

Data analysis

Communication skills

Detail-oriented

Tools

Avaloq

Temenos

Finacle

Job description

Data Mapping Lead - Enterprise Data Migration (Financial Services) London- (Hybrid) x4 Days on-site £600-£650 emagine is a high-end professional services consultancy and solutions firm Specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication in delivering the optimal service for our clients. Our commitment is not just towards our clients but we aim to foster a positive and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine. The Data Mapping Lead is a senior role within a data migration and transformation programme, accountable for defining, owning, and governing the enterprise-wide data mapping specification that acts as the golden source for all data migrations across the organisation. This is not a delivery or development role. It is the authoritative ownership of the Mapping Specification-the single artefact used by:

• Developers to build migration and transformation logic
• Business teams to define data rules and outcomes
• Testing teams to validate data integrity, completeness, and correctness

The specification will evolve through analysis, build, test, and remediation cycles prior to sign-off. The Data Mapping Lead ensures clarity, consistency, traceability, and governance throughout, acting as the bridge between business, IT, data, and engineering teams. The role suits a financial services data professional experienced in complex Legacy estates, regulatory constraints, and core banking transformations (eg Avaloq or equivalent).

Data Mapping Ownership & Governance

• Own the end-to-end creation, maintenance, and approval of detailed data mapping specifications.
• Establish and enforce the Mapping Specification as the golden source for all migration activity.
• Ensure mappings are consistent, version-controlled, auditable, and regulator‑ready.
• Define standards for documentation, naming conventions, and traceability.

Data Blueprint & Golden Source Definition

• Partner with application owners and data SMEs to identify authoritative systems for key data domains (customer, account, product, reference data).
• Resolve conflicts across overlapping or inconsistent data sources.
• Define rules for data precedence, survivorship, and consolidation.

Data Transformation & Rules Definition

• Define field‑to‑field mappings from Legacy to target platforms (eg Avaloq).
• Specify transformation, enrichment, derivation, and defaulting rules.
• Address complex FS scenarios including multi‑currency, account hierarchies, historical data, and regulatory requirements.

Stakeholder Engagement & Decision Facilitation

• Facilitate structured workshops with business SMEs, IT owners, architects, developers, and test leads.
• Drive decisions where data definitions or requirements are ambiguous.
• Act as the authority on data interpretation and mapping intent.

Iteration, Testing & Change Management

• Maintain mappings as a living artefact through SIT, UAT, reconciliation, and defect remediation cycles.
• Work closely with testing teams to ensure mappings are testable and traceable to outcomes.

Key Skills and Experience

• Proven experience in data migration, data mapping, or data analysis within financial services.
• Strong understanding of data structures, relational models, and Legacy-to-target migrations.
• Demonstrated ability to produce detailed, developer‑ready mapping specifications.
• Excellent communication and facilitation skills; able to challenge and drive decisions.
• Highly organised, detail-oriented, and comfortable working with granular data in regulated environments.

Desirable Skills & Experience

• Experience with Avaloq or other core banking platforms (Temenos, Finacle).
• Banking domain experience (retail/private banking, wealth, payments, securities).
• Familiarity with data quality, reconciliation, and migration testing approaches.

Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.