EY
EY

EY ir globāls profesionālo pakalpojumu uzņēmums, kas piedāvā revīzijas, nodokļu, konsultāciju un konsultatīvos pakalpojumus. Tā komandas palīdz organizācijām risināt sarežģītus uzņēmējdarbības izaicinājumus, stiprināt uzticēšanos finanšu pārskatiem un tirgiem, kā arī izmantot datus un tehnoloģijas pārmaiņu atbalstam.

Uzņēmums sniedz tādus pakalpojumus kā korporatīvo finanšu konsultācijas, darījumu stratēģijas un tehnoloģiju konsultācijas. EY sadarbojas ar klientiem tādās jomās kā veselības aprūpe, juridiskie pakalpojumi, mārketings, enerģētika, finanses un valsts pārvalde, un daudzos tā risinājumos nozīmīga loma ir ilgtspējai un inovācijām.

EY AI Finance Manager, Technology Consulting

Lead finance data architecture, governance, and AI initiatives as an EY manager. Shape consulting solutions and client engagements across finance applications.

Apraksts

  • Help execute data management strategy for finance applications in partnership with the Finance Applications Data Lead.
  • Build the FDL consulting blueprint and an industry-agnostic data model.
  • Partner with the Data Lead and Product Owner to establish dependable finance application data architecture.
  • Work with finance, IT, and data science teams to manage and use finance application data.
  • Lead client engagement delivery and manage client relationships.
  • Guide technical teams in designing and delivering system architecture solutions.
  • Adapt technology platforms to business processes and drive ongoing improvement.
  • Manage complex processes, solutions, and projects while maintaining quality and managing risk.
  • Track progress, manage risks, and keep stakeholders informed.
  • Lead and motivate client teams, providing feedback and coaching.
  • Support data strategy execution and define data requirements, architecture, and models.
  • Lead the design and implementation of an extensible common information model for the FDL Blueprint.
  • Create and maintain data dictionaries, entity relationship diagrams, and data lineage maps.
  • Lead delivery of the FDL Blueprint solution, with attention to scalability, performance, and security.
  • Work with data scientists and finance subject matter resources to identify machine learning and generative AI opportunities.
  • Help establish and maintain a strong data governance framework.
  • Keep up with machine learning, generative AI, data management, and Azure technologies.
  • Identify and implement new solutions for finance applications.

Prasības

  • Bachelor's degree in finance, accounting, business, or computer science.
  • At least five years of progressive financial planning and analysis (FP&A) experience.
  • Experience with strategic financial planning, budgeting, and forecasting.
  • Experience with financial modeling and scenario analysis.
  • Experience with variance analysis and management reporting.
  • Experience collaborating across functions with business stakeholders.
  • Proficiency with EPM platforms such as Anaplan, Oracle EPM Cloud Suite, Oracle Hyperion, OneStream, or Tagetik.
  • Anaplan Certified Model Builder credential preferred.
  • Understanding of financial data architecture and governance.
  • Knowledge of financial data modeling and dimensional design.
  • Knowledge of chart of accounts structures and hierarchy management.
  • Knowledge of data quality standards and reconciliation processes.
  • Knowledge of master data management for finance applications.
  • Knowledge of finance applications and financial modeling for profit and loss, balance sheet, and cash flow.
  • Strong communication, collaboration, and problem-solving skills.
  • Ability to work in a fast-paced, changing environment and support adoption of emerging technologies.
  • Strong business skills, including relationship management and commercial awareness.
  • Strong analytical and problem-solving skills.
  • Excellent spoken and written communication skills.
  • Willingness and ability to travel to meet client needs.

Priekšrocības

  • Medical and dental coverage.
  • Pension plans.
  • 401(k) plans.
  • A range of paid time off options.
  • Opportunities for professional growth.
  • Opportunities for personal fulfillment.
  • An inclusive culture.
  • Reasonable accommodation for qualified individuals with disabilities.

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