Data Governance / Target Operating Model (TOM) Lead

Synechron•New York, NY

7d•$130,000 - $145,000

About The Position

Synechron is seeking an experienced Data Governance & Operating Model Lead to design and implement a federated data-governance model across a banking or capital-markets environment. The role will establish a canonical business taxonomy, define domain boundaries, assign accountable producing domains, and develop producer-consumer data contracts. The successful candidate will translate dependency and lineage findings into practical ownership, stewardship, and contract obligations, and embed the target governance model into the organisation’s architecture and operating practices. The role requires working at enterprise scale, resolving ambiguous ownership decisions, and producing governance artefacts that are practical for domain teams and defensible to internal audit, regulators, and senior stakeholders. The position will establish taxonomy and metadata standards; apply documented boundary tests and DDD context mapping; normalize inventory into a FIBO-informed taxonomy; assign a single accountable producing domain to every item; resolve contested artefacts through DACI; and turn lineage findings into named consumer domains and contract obligations. It will also draft provisional ODCS producer-consumer contracts, define operating roles and stewardship RACI, specify governance-plane capabilities for the target-state architecture, and advise on adoption sequencing. The base salary varies by geography and other factors. For a position filled within New York, NY, the stated base salary is $130,000–$145,000 per year, plus benefits. Synechron describes itself as a global consulting firm with a workforce of 17,000+ and 58 offices in 22 countries.

Requirements

10+ years of data-governance experience within banking or capital markets.
5+ years leading governance or target operating model design at enterprise scale.
Experience designing federated governance and evidence of a model adopted by domain teams.
Experience applying Domain-Driven Design context mapping to data domains.
Working familiarity with FIBO and BIAN service domains as sources of canonical boundaries.
Knowledge of data contract standards such as ODCS or equivalent, and metadata registry standards such as ISO/IEC 11179.
Regulatory grounding in BCBS 239 principles, critical data element definition and coverage, Dodd-Frank, and MiFID II.
Practical facility with catalogue, lineage, and data-quality tooling, including Unity Catalog, Microsoft Purview, Collibra, Alation, Solidatus, Securiti.ai, and Anomalo.
Ability to write decision rationales that remain defensible to internal audit.

Nice To Haves

A domain-assignment matrix with rationale (Excel; DDD context mapping).
A refined domain taxonomy and boundary definitions (Word; DDD + FIBO).
A target operating model for ownership and stewardship (Word + RACI).
Provisional producer-consumer data contracts (YAML/Excel; ODCS).

Responsibilities

Agree the taxonomy normalisation method and metadata standard (ISO/IEC 11179).
Establish and document four domain-boundary tests: business capability rather than schema; origination over usage; change cadence and cohesion; and accountability for the business decision the data supports.
Normalise the inventory into a canonical, FIBO-informed taxonomy with explicit boundary definitions and consolidate naming variants.
Assign exactly one accountable producing domain to every item and produce a domain-assignment matrix with written rationale using DDD context mapping.
Resolve multi-domain and contested items through DACI; decompose contested cross-domain stored procedures into producer-held origination logic and consumer-side derivation products rather than treating them as shared.
Convert dependency and lineage maps into named consuming domains and contract obligations for every UI, extract feed, and downstream application.
Draft provisional producer-consumer data contracts to ODCS, covering schema and semantics, quality SLOs, freshness and availability, access and entitlement, versioning, and change and deprecation.
Define the target operating model for Domain Owner, Data Product Owner, Data Steward, and Platform team, including a stewardship RACI naming real people or positions.
Supply the governance-plane definition for target-state architecture, including taxonomy conformance, contract registry, policy-as-code, quality SLOs, and access entitlement enforced at publish.
Advise on adoption sequencing, identifying domains ready to hold accountability immediately and domains requiring interim arrangements.

Benefits

Competitive compensation and benefits package.
Possibility to work abroad.
10 days of paid annual leave, plus sick leave and national holidays.
Maternity and paternity leave plans.
Comprehensive insurance including medical, dental, vision, life, and long- and short-term disability; plans vary by region.
Retirement savings plans.
Higher education certification policy.
Commuter benefits; varies by region.
Extensive training opportunities focused on skills, substantive knowledge, and personal development.
On-demand Udemy for Business access to more than 5,000 curated courses for employees.
Coaching opportunities with experienced colleagues from FinLabs and CoE groups.
Flexible workplace arrangements, mentoring, internal mobility, and learning and development programs.