Accenture - Organizational Analytics Role

Organization Analytics:

Although no two days at Accenture are the same, as an Organizational Analytics (OA) Manager in our Talent & Organization (T&O) practice, a typical day might include:

- Utilizing a data-driven approach to build strategies on NLP-based solutions for global and local clients in the areas of People transformation/Workforce Analytics.

- Engaging with clients to understand their challenges, requirements, and concerns to determine the best OA solution

- Evaluating and selecting appropriate NLP tools, libraries, and frameworks to enhance the analytical capabilities of the organization.

- Keeping a working knowledge of deep reinforcement learning and its applications in generative AI.

- Working with cloud platforms and services for AI development, such as AWS or Azure.

- Identifying, analyzing, and interpreting trends or patterns in complex data sets to develop business solutions

- Co-creating solutions and assistIng clients in developing action plans

- SupportIng Product Development and own the delivery of new OA products

- BuildIng strong relationships with clients and fostering business growth

- Contributing to T&O practice-building efforts such as recruiting, training and attending community events

BASIC QUALIFICATIONS:

- MBA, PhD and/or higher education

REQUIRED EXPERIENCE/ SKILLS :

- 7 to 8 years of experience in people analytics and people management-related programs (workforce transformation, workforce M&A strategy, culture transformations, I&D strategy etc.)

- Possess in-depth knowledge of analytics tools, programming languages, and technologies for Natural Language Processing.

- Working knowledge with Start-of-Art models like BERT, RoBERTa, XLNet etc. Comfortable with using basic and advance multidimensional embeddings.

- Understanding of generative AI techniques such as variational autoencoders (VAEs), generative adversarial networks (GANs), and autoregressive models.

- Prior experience in developing and deploying generative AI models, demonstrating successful projects.

- Data fluency and working knowledge of statistical methodologies

- Data interpretation with working knowledge of analytic (predictive and prescriptive) models and digital tools

- Fluency in English is required, additional language capabilities are highly advantageous

- Ability to perform in a non-structured and dynamic environment

YOUR WINNING QUALITIES:

- Natural leader; easily establishes relationships with clients and colleagues

- Team Player; enjoys the intellectual stimulation of collaborating with colleagues around the world

- Determined; appreciates a challenge and overcoming obstacles to achieve results

- Digitally savvy; continuous learner

OUR COMMITMENT TO YOU - You will enjoy:

- A transparent career path designed for rapid career progression

- A supportive culture that is serious about training, coaching and continuous learning

- A global network where only state-of-the-art tools and technologies will do

- A bighearted environment with opportunities to give back to our local communities