Synechron

Data Governance / Target Operating Model (TOM) Lead

Synechron$130K — $145K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in data governance in banking or capital markets
  • 5+ years leading governance or TOM design at enterprise scale
  • Experience with federated governance design driving domain team adoption
  • Familiar with Domain-Driven Design context mapping and relevant standards
  • Grounded in regulatory requirements and governance defensibility
  • Proficient with data tooling like Unity Catalog, Microsoft Purview, Collibra, etc.
  • Strong documentation and rationale writing skills

Responsibilities

  • Agree on taxonomy normalization methods and metadata standards
  • Establish boundary tests as documented decision methods
  • Normalize inventory into a canonical, FIBO-informed taxonomy
  • Assign accountable producing domains with a rationale
  • Resolve multi-domain and contested items using DACI
  • Convert dependency and lineage maps into contract obligations
  • Draft provisional producer-consumer data contracts
  • Define target operating model roles and responsibilities
  • Supply governance definitions into target-state architecture
  • Advise on domain accountability adoption sequencing

Benefits

  • Highly competitive compensation and benefits package
  • Possibility to work abroad in multinational organization with 58 offices
  • 10 days of paid annual leave plus sick leave and national holidays
  • Comprehensive insurance plan including medical and dental
  • Retirement savings plans
  • Higher education certification policy offered
  • Commuter benefits that vary by region
  • Extensive training opportunities focused on development
  • Free access to over 5000 curated Udemy courses for skill enhancement
  • Coaching opportunities with experienced colleagues
  • Involvement in cutting-edge projects for tier-one banks and financial institutions
Full Job Description
Our challenge

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 clear domain boundaries, assign accountable producing domains and develop producer-consumer data contracts. Candidate will translate complex dependency and lineage findings into practical ownership, stewardship and contract obligations, while ensuring that the target governance model is embedded into the organisation's architecture and operating practices. The successful candidate will be comfortable working at enterprise scale, challenging ambiguous ownership decisions and producing governance artefacts that are practical for domain teams and defensible to internal audit, regulators and senior stakeholders.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $130k - $145k/year & benefits (see below).

The Role

Responsibilities:
  • Agree the taxonomy normalisation method and the metadata standard (ISO/IEC 11179)
  • Establish the four boundary tests as the documented decision method: business capability rather than schema; origination beats usage; change cadence and cohesion; accountability for the business decision the data supports.
  • Normalise the inventory into a canonical, FIBO-informed taxonomy with explicit boundary definitions, collapsing variants such as "Reference" / "Market Data" / "Reference / Market Data", "Equities Front Office" versus "Equity Front Office", and the several spellings of "Derivatives Operations (Reg Ops)".
  • Assign exactly one accountable producing domain to every item and produce the domain-assignment matrix with written rationale (DDD context mapping).
  • Resolve multi-domain and contested items through DACI. Contested artefacts, typically cross-domain stored procedures - are decomposed into origination logic held by the producer and derivation logic held as a consumer-side product; they are not shared.
  • Convert the dependency and lineage map into named consuming domains and contract obligations for every UI, extract feed and downstream application.
  • Draft provisional producer-consumer data contracts to ODCS, each specifying all six mandatory elements: schema and semantics; quality SLOs; freshness and availability; access and entitlement; versioning; change and deprecation.
  • Define the target operating model across the four roles: Domain Owner (accountable), Data Product Owner (responsible), Data Steward (quality and metadata), Platform team (enablement, never ownership) - with a stewardship RACI that names real people or real positions
  • Supply the governance plane definition into the target-state architecture: taxonomy conformance, contract registry, policy-as-code, quality SLOs and access entitlement enforced at the point of publish.
  • Advise on adoption sequencing, which domains are ready to hold accountability on day one and which need an interim arrangement.


Requirements:
  • 10+ years in data governance within banking or capital markets; 5+ leading governance or TOM design at enterprise scale.
  • Federated governance design experience, evidence of a model that was adopted by domain teams, not a policy set that was published and ignored. Ask for the adoption evidence.
  • Domain-Driven Design context mapping applied to data domains, and working familiarity with FIBO and BIAN service domains as sources of canonical boundaries.
  • Data contract standards (ODCS or equivalent) and metadata registry standards (ISO/IEC 11179).
  • Regulatory grounding that makes the governance defensible under examination: BCBS 239 principles, critical data element definition and coverage, Dodd-Frank, MiFID II
  • Practical facility with catalogue, lineage and data-quality tooling: Unity Catalog, Microsoft Purview, Collibra, Alation, Solidatus, Securiti.ai, Anomalo.
  • Ability to write a decision rationale that will still be defensible to an internal auditor two years from now.


Preferred, but not required:
  • Domain-assignment matrix with rationale (Excel; DDD context mapping)
  • Refined domain taxonomy and boundary definitions (Word; DDD + FIBO)
  • Target operating model for ownership and stewardship (Word + RACI)
  • Provisional producer-consumer data contracts (YAML/Excel; ODCS)


We offer:
  • A highly competitive compensation and benefits package.
  • A multinational organization with 58 offices in 22 countries and the possibility to work abroad.
  • 10 days of paid annual leave (plus sick leave and national holidays).
  • Maternity & paternity leave plans.
  • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region).
  • Retirement savings plans.
  • A 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 for all Synechron employees with free access to more than 5000 curated courses.
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.
  • Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.
  • A flat and approachable organization.
  • A truly diverse, fun-loving, and global work culture.

About Synechron

Synechron is a digital consulting firm that provides technology solutions to financial services companies. The company's services include digital, business consulting, technology, and data analytics. Synechron serves customers in the banking, capital markets, insurance, and asset management industries. The company has offices in North America, Europe, Asia, and the Middle East.
Learn more about Synechron
Size
10,000 employees
Industry
Founded
2001

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