Sales Excellence Coe Automated Insights Genai Manager (Remote)

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.

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. You are a self-starter that is quick to prototype a new solution but is willing to revise 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 information.

The work:

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

As a member of the COE Analytics team, you will manage the data science and analytics that automate the delivery of business insights to our internal sales team customers.

You will:

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

Individually contribute code to support your projects.

Structure data for use in analytics applications.

Ensure the output created by projects you lead meet business users’ needs.

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

Here’s what you need:

A Bachelor’s degree or equivalent experience.

Excellent oral and written communication skills in English.

At least 10 years of experience, which includes: 

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, and integrate data from various sources.

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 credit if you have:

A master’s degree in a technical field.

Understanding of Accenture sales process and systems.

Built training data that has improved the usefulness of a Gen AI/LLM model.

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., 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 versus models at scale.

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.

🌈 AT ACCENTURE, EQUALITY DRIVES INNOVATION

Did you know that Accenture was named the most diverse and inclusive company in the world?

We believe that the workforce of the future is an equal workforce for all.

All decisions regarding the employment selection process will be made without distinction, exclusion or preference based on race, color, gender, sexual orientation, disability, age, religion, political or trade union opinion, nationality or socioeconomic origin or any other grounds provided by applicable law that would have the effect of nullifying or impairing equality of opportunity or treatment among candidates.