Data Engineering, Management & Governance Senior Manager​/Associate Director - Products

We Are

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem .

The Work

Data Engineering, Management & Governance Senior Manager and the job duties are as follows:

+ Architect scalable solutions for new rollouts, enhancements, and lifecycle maintenance, integrating best practices across Dev Ops, MLOps, and Data Ops frameworks.

+ Lead strategic design and oversight of data system components and enterprise applications, ensuring alignment with organizational goals and long-term technology roadmaps.

+ Drive cross-functional project planning for complex IT initiatives, defining objectives, technology stacks, systems architecture, schedules, budgets, and staffing strategies in collaboration with senior leadership.

+ Oversee application performance and service delivery, ensuring adherence to SLAs and proactively managing scope, budget, and timelines across multiple concurrent projects.

+ Set technical standards and governance for application design and development, ensuring code quality, security, and compliance across engineering teams.

+ Develop system specifications and establish AI initiatives, MLops and Dataops for complex systems.

+ Identify and solve complex problems that require in-depth evaluation of variable factors for team implementation.

+ Mentor and lead engineering teams, translating business and system requirements into actionable design specifications and fostering talent development.

+ Manage program-level execution, including issue resolution, stakeholder reporting, and budget forecasting, while making strategic decisions in consultation with executive leadership.

+ Shape strategic direction, prototype innovative solutions, and ensure alignment with client and senior management expectations.

+ Represent the organization in senior-level engagements, building trust with clients and internal executives through effective communication and relationship management.

Travel may be required for this role.  The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here's what you need

Must have 7 years of experience in each of the following:

+ Leading architectural and design decisions and managing ETL projects and providing complex ETL and backend solutions;

+ Designing, developing and managing large-scale Data warehouse, Data Lake solutions and Data infrastructure across multiple systems following SDLC best practices;

+ Utilizing Git Hub for version control, JIRA for task tracking, Jenkins for CI/CD pipeline automation, and Apache Airflow for scheduling and monitoring batch job executions across distributed environments;

+ Coding and deploying applications using Dev Ops by utilizing Git Lab, AWS, and Splunk;

+ Developing and maintaining applications, and extract, transform, and load (ETL) leveraging Scala, Python, PySpark, AWS services, PL/SQL and Unix Shell Scripting to manage complex data workflows, automate processes, and enable reliable communication between enterprise systems and applications;

+ Working with Hive, SQL databases including MySQL, Presto, Amazon Dynamo

DB, Red Shift and visualization using Tableau; and

+ Driving delivery orchestration and design decisions suggesting improvements, and managing onshore and offshore teams supporting critical applications.

Must have 5 years of experience in each of the following:

+ Applying cloud-native development principles and Agile methodology to build scalable, resilient applications while optimizing data ingestion and transformation in the cloud including AWS; and

+ Creating prototype solutions, producing, and maintaining data and infrastructure for Machine learning, experimentation, and AI applications.

Bachelor's degree or equivalent (minimum 12 years) work…