Accenture
Data Eng, Mgmt & Governance Senior Manager
Accenture, Seattle, Washington, us, 98127
Data Eng, Mgmt & Governance Senior Manager
| Senior Level | Full time
A Unified Data Analytics Platform Application Lead, you will be responsible for leading the effort to blueprint and design of a unified data analytics platform. You would understand and translate the business objectives and analytical requirements for global digital transformations into the full development life cycle of complex data products. In this role, you would lead data engineering, and partner with technology and business teams including Infrastructure, Digital, Product, Analytics, Reporting, Merchandise, marketing, Customer and Store Operations to co-lead and deliver multiyear roadmaps. Your typical day will involve working with the cloud platform (preferably Google Cloud) Unified Data Analytics Platform, being the single point of contact for cross-functional teams, and ensuring the successful delivery of applications.
Key Responsibilities:
Lead Application Design and Development:
Lead the architecture, design, build, and configuration of applications using our cloud platform of choice (preferably Google Cloud). Collaborate with developers, architects, and other stakeholders to ensure that applications meet business requirements and adhere to best practices and standards.
Primary Point of Contact:
Act as the primary point of contact for all aspects of standing up a unified data analytics platform. Provide technical guidance, support, and oversight to ensure successful delivery of applications.
Collaboration and Communication:
Collaborate with cross-functional teams, including developers, architects, business analysts, and other stakeholders to ensure that applications meet business requirements and are delivered on time.
Technical Expertise:
Stay up-to-date with the latest technologies, trends, and best practices in data analytics and cloud computing. Apply this expertise to design and build scalable, secure, and efficient data analytics platforms. Manage multiple projects simultaneously, prioritizing tasks and resources to ensure successful delivery of applications on time and within budget.
Coach, Mentor and Train technical, business and operations teams on analytics use cases, data driven journey, self-exploration, governance and continuous improvement. Evangelize use of data across levels and functions through multiple channels (demos, workshops, training, hackathons).
Help build and maintain foundational data products.
Work closely with data analysts and stakeholders to make data easily accessible and understandable to them.
Work closely with various other data engineering teams to roll out new capabilities.
Design and help with build process and tools to maintain AI / ML pipelines in production.
Develop and enforce data engineering, security, data quality standards through automation.
Travel may be required for this role, varying from 25% to 100% depending on business need and client requirements.
What You'll Need:
Minimum 10+ years of experience in data analytics, cloud computing, and application development.
Minimum 2+ years of technical experience in Google Cloud and data analytics tools and technologies.
Proven track record of leading complex projects and delivering results on time and within budget.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).
Bonus if you have:
Master's degree in Computer Science, Information Technology, or related field.
Certification in Google Cloud or other cloud platforms (e.g., GCP, AWS, Azure).
Experience with data governance, security, and compliance frameworks.
Familiarity with Agile development methodologies and DevOps practices.
Professional Skills:
Excellent communication, collaboration, and project management skills.
Experience working with cross-functional teams to deliver business outcomes.
#J-18808-Ljbffr
| Senior Level | Full time
A Unified Data Analytics Platform Application Lead, you will be responsible for leading the effort to blueprint and design of a unified data analytics platform. You would understand and translate the business objectives and analytical requirements for global digital transformations into the full development life cycle of complex data products. In this role, you would lead data engineering, and partner with technology and business teams including Infrastructure, Digital, Product, Analytics, Reporting, Merchandise, marketing, Customer and Store Operations to co-lead and deliver multiyear roadmaps. Your typical day will involve working with the cloud platform (preferably Google Cloud) Unified Data Analytics Platform, being the single point of contact for cross-functional teams, and ensuring the successful delivery of applications.
Key Responsibilities:
Lead Application Design and Development:
Lead the architecture, design, build, and configuration of applications using our cloud platform of choice (preferably Google Cloud). Collaborate with developers, architects, and other stakeholders to ensure that applications meet business requirements and adhere to best practices and standards.
Primary Point of Contact:
Act as the primary point of contact for all aspects of standing up a unified data analytics platform. Provide technical guidance, support, and oversight to ensure successful delivery of applications.
Collaboration and Communication:
Collaborate with cross-functional teams, including developers, architects, business analysts, and other stakeholders to ensure that applications meet business requirements and are delivered on time.
Technical Expertise:
Stay up-to-date with the latest technologies, trends, and best practices in data analytics and cloud computing. Apply this expertise to design and build scalable, secure, and efficient data analytics platforms. Manage multiple projects simultaneously, prioritizing tasks and resources to ensure successful delivery of applications on time and within budget.
Coach, Mentor and Train technical, business and operations teams on analytics use cases, data driven journey, self-exploration, governance and continuous improvement. Evangelize use of data across levels and functions through multiple channels (demos, workshops, training, hackathons).
Help build and maintain foundational data products.
Work closely with data analysts and stakeholders to make data easily accessible and understandable to them.
Work closely with various other data engineering teams to roll out new capabilities.
Design and help with build process and tools to maintain AI / ML pipelines in production.
Develop and enforce data engineering, security, data quality standards through automation.
Travel may be required for this role, varying from 25% to 100% depending on business need and client requirements.
What You'll Need:
Minimum 10+ years of experience in data analytics, cloud computing, and application development.
Minimum 2+ years of technical experience in Google Cloud and data analytics tools and technologies.
Proven track record of leading complex projects and delivering results on time and within budget.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience).
Bonus if you have:
Master's degree in Computer Science, Information Technology, or related field.
Certification in Google Cloud or other cloud platforms (e.g., GCP, AWS, Azure).
Experience with data governance, security, and compliance frameworks.
Familiarity with Agile development methodologies and DevOps practices.
Professional Skills:
Excellent communication, collaboration, and project management skills.
Experience working with cross-functional teams to deliver business outcomes.
#J-18808-Ljbffr