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Accenture

Advises businesses and runs their technology

Data Management & Governance Manager - Finance

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree or equivalent, defined as a minimum of 12 years of work experience, is required. An associate's degree is acceptable with a minimum of 6 years of work experience.
  • At least 5 years of hands-on experience with cloud and big data technologies, including serverless data processing, Spark or SparkSQL, batch and streaming services, event-driven data pipelines, cloud databases, and programming languages such as Python, SQL, and Node.js.
  • At least 5 years of experience with cloud data storage, data management, and data services.
  • At least 5 years of experience with data supply chains, including streaming pipelines, and addressing challenges in data acquisition and evaluating data value.
  • At least 5 years of experience examining data from multiple sources and sharing insights that provide competitive advantage.
  • At least 5 years of experience with DevOps and continuous integration and continuous delivery processes.
  • At least 5 years of experience with scheduling and orchestration.
  • Preferred experience in large-scale data integration and data warehouse solutions, Databricks, and Snowflake.
  • Preferred ability to lead and facilitate design sessions with business customers and the business intelligence team to derive data requirements and design information.
  • Preferred cloud data path certifications, such as AWS certifications.
  • Preferred business acumen and domain knowledge in areas such as finance, supply chain, or customer data to understand differences in data definitions across systems.
  • Preferred understanding of governance and security best practices, organizational policies, procedures, and protocols for regulatory and privacy compliance.
  • Preferred basic knowledge of machine learning, models, and statistical analysis to collaborate with data scientists and business leaders.
  • Preferred demonstrable knowledge of artificial intelligence, machine learning, data science, and related technical domains.

Responsibilities

  • Apply data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization.
  • Design, build, and test scalable data pipelines using extract, transform, and load tools.
  • Document requirements and technical design documents.
  • Deploy solutions to production environments using continuous integration and continuous delivery, DevOps, and cloud architecture principles.
  • Migrate data from legacy data warehouses and enterprise systems, such as enterprise resource planning, finance, and customer relationship management platforms, using cloud architecture principles.
  • Automate data flows for financial and management reporting, operational analytics, and artificial intelligence use cases.
  • Build business processes that enable data governance.
  • Design and advise on data quality rules, including completeness, validity, and reconciliation to financial control totals, and establish data compliance policies.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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