„Marsh McLennan“ yra pasaulinė profesionalių paslaugų įmonė, teikianti konsultavimo paslaugas rizikos valdymo, strategijos ir su žmonėmis susijusiose srityse. Įmonių grupei priklauso draudimo tarpininkavimo ir rizikos valdymo paslaugas teikianti „Marsh“, perdraudimo ir kapitalo strategijų srityje besispecializuojanti „Guy Carpenter“, sveikatos, turto ir karjeros konsultavimo paslaugas teikianti „Mercer“ bei strategijos, ekonomikos ir prekių ženklų konsultavimo srityse besispecializuojanti „Oliver Wyman“. „Marsh McLennan“ visame pasaulyje dirba daugiau nei 85 000 darbuotojų, o įmonė sutelkia finansų, konsultavimo, rinkodaros ir kitų susijusių profesionalių paslaugų kompetencijas. Įmonės įdarbinimo sritys apima klientų konsultavimą, rizikos analizę, verslo strategiją, konsultavimą ir veiklos komandas palaikančias pareigas visose keturiose įmonėse.
Director of Data Management — Pune, Hybrid | Marsh McLennan
Lead a data domain that supports Marsh’s enterprise data products for risk and business consulting. Govern domain data, encourage adoption, and deliver measurable value across analytics and AI.
Aprašymas
- Set the strategy, roadmap, and measurable goals for an assigned data domain
- Define the domain’s scope, boundaries, and authoritative business definitions
- Turn business needs into reusable, governed data products
- Work with business sponsors, architects, engineers, and governance teams to deliver domain capabilities
- Help manage the domain backlog, release priorities, and product acceptance criteria
- Ensure the domain supports end-to-end business processes
- Lead tracer testing of real business transactions to check data quality, handoffs, identifiers, and usability
- Promote adoption across operational applications, reporting, analytics, self-service, and AI
- Set quality, governance, privacy, and control requirements throughout the product lifecycle
- Coordinate delivery across global and regional teams, tracking dependencies, milestones, and risks
- Assess domain performance through trust, reuse, adoption, and business value
- Escalate unresolved ownership, quality, capacity, and prioritization issues
Reikalavimai
- Experience with data products, enterprise data, business data strategy, or product management
- Strong understanding of business process design and translating business needs into data requirements
- Experience delivering data capabilities to production and supporting adoption with business stakeholders
- Working knowledge of data architecture, modeling, metadata, quality, governance, and integration
- Ability to collaborate with stakeholders across business, technology, operations, and regional teams
- Ability to contribute to cross-functional work without depending solely on direct authority
- Strong prioritization, problem-solving, and decision-making skills
- Excellent communication skills, including explaining complex data topics in clear business terms
- Ability to work through ambiguity while pursuing measurable outcomes
- Experience in insurance, risk, benefits, financial services, or another complex regulated industry
- Product-focused approach centered on adoption, value realization, and business outcomes
- Experience balancing enterprise-wide consistency with regional and business-specific needs
- Track record of resolving data handoff, ownership, and quality issues across end-to-end processes
- Familiarity with using data in analytics, reporting, operational platforms, and AI applications
Privalumai
- Hybrid work with flexibility to work remotely
- Opportunities for collaboration, connection, and professional development through in-office work
- A diverse, inclusive, and flexible work environment