Sales Ex - COE - AI and Data Engineering Manager

About Accenture:

At Accenture, we believe your career is about what you want to be and who you want to be. It’s about bringing your skills, your curiosity, and your best true self to your work. Here, you’ll match your ingenuity with the latest technology to do incredible things. Together, we can create positive, long-lasting change.

We are:

Sales Excellence at Accenture. We empower our people to compete, win and grow. We develop everything they need to build and mature their client portfolios, optimize their deals and enable their sales talent, all driven by sales intelligence.

You are:

An analytical person who has the ability to understand business needs and leverage your technical skills to turn them into business insights and scalable processes. You are a self-starter that is quick to prototype a new solution but is willing to abandon the idea if it does not solve the use case. You find satisfaction in exploring raw data and efficiently transforming it into useful and relevant and actionable information. You have had prior expereince in bringing analytical data products to market and are able to work in a dynamic environment.

The work:

The Center of Excellence (COE) enables Sales Excellence to deliver best-in-class service offerings to Accenture leaders, practitioners, and sales teams.

As a member of the COE Analytics team, you will help manage the release cycle, data engineering, and automation across a diverse set of data sources and find new and creative ways to bring insights to life while adapting to business needs.

You will:

Lead projects related to data engineering and analytics, leveraging cross-functional resources from within the COE to meet project goals.

Individually contribute code to support your projects.

Identify and drive creative methods to operationalize data classification objectives.

Set and drive standards for data engineering workflow and processes.

Structure data for use in analytics applications.

Setup test protocols to ensure the output created meets business users’ needs.

Work with our partners to deliver insights via various consumption mediums, such as visualization tools, slide decks, and Gen AI/LLM.

Here’s what you need:

A Bachelor’s degree or equivalent.

Excellent oral and written communication skills in English.

At least five years of analytics or software engineering experience, which includes: 

Creating or managing web-based software engineering projects with a diverse dataset.

Managing data science and analytics projects.

Advanced SQL and relational databases.

Advanced Python, creating production code in an object-oriented programming framework.

Cloud technology.

Building of data flow components and processing systems to extract, transform, load (ETL), and integrate data from various sources either scripting or through visual ETL tools such as Alteryx.

Business acumen, accuracy, and attention to detail.

Ability to prioritize own workload and manage downstream stakeholders and resources.

Strong interpersonal skills and ability to communicate solutions to senior leadership, gain alignment, and drive progress.

Mathematics, statistics, and problem-solving aptitude.

Extra Credits if you have:

A Master’s degree in a technical field.

Understanding of Accenture sales process and systems.

Familiarity with recent Gen AI/ LLM concepts and methods to build into data sourcing or capture mechanisms.

Worked directly with customers to understand their business needs.

Experience with Python database communications, e.g., SQLAlchemy.

Used development tools, e.g., Git, Google Composer, and Azure DevOps, and visualization tools, e.g., Tableau, Power BI.

Leveraged quality assurance processes, such as unit and end-to-end testing.

Ability to work under minimal supervision and guidance.

Are comfortable with ambiguity, and excited to navigate unknowns to create a clear workplan.

Worked in an environment where you've had to balance building prototypes (<100 users) versus models at scale (>10,000 users).

You May Also Need:

Ability to work flexible hours according to business needs.

Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines.