This role will be a part of IT Product Management and will work in a team responsible for leading the project management side of strategic initiatives related to the area of Data Science, ML, Gen AI /LLM based solutions and Data Analytics.

The role involves creating and maintaining the momentum with stakeholders, focusing on value and incremental results while continuously looking for the latest and newest technologies and machine learning solutions available for various uses cases.

What's in it for you :

- You will be part of a team at the center of the transformation of a Fortune 500 company.

- You will be spearheading the strategic projects, witnessing the whole project life cycle, and deploying the end-to-end machine learning based data extraction solution.

- You will be working closely with stakeholders of various teams to understand their business challenges and to provide cutting-edge solutions to them.

- You will be getting immense exposure to commercial discussion with the vendors and will actively participate in the discussion with Legal, Finance and Technology teams.

- Collaborate with global stakeholders to solve complex business challenges using data analytics and AI/ML technologies

- You will be part of a diverse, global and dynamic team.

Responsibilities :

- Interpret project requirements analyze and develop project plans, , and lead an end-to-end execution of AI/ML and analytics projects

- Engage with business leads and peers, interfaces with senior leaders across the organization.

- Builds strong internal and external relationships and ensures service quality and customer satisfaction

- Build and present strategic insights using statistical analysis and data visualization to senior leadership

- Act as an extension of our client service model ensuring seamless service delivery across Business Operations for our clients.

- Actively participate in the evaluation of machine learning based & data analytics solutions and lead the proof of concept for those solutions in collaboration with the Data Operations team and vendor.

- Build, synthesize and present strategic insights and recommendations to the senior stakeholders and ensure continuous communication with project stakeholders.

- Partner with Data teams and SMEs to drive the adoption of data standards, definitions, structures, hierarchies, taxonomies, attributes, and models to support and optimize end-to-end business solutions.

- Partner with IT and Scrum Teams to develop documentation and communication of system and process requirements to ensure smooth implementations.

- Act as a link between Scrum teams and vendor for any technical requirement.

What Are We Looking For :

Basic Qualifications :

- 7 + years of project management experience with a proven track record of leading and/or collaborating with teams, operations, and vendors in complex global matrix structures and business models.

- Technical experience/background in similar projects especially related to implementation of Data science, machine learning and Gen AI/LLM, and Data Analytics based projects

- Strong understanding of statistics, hypothesis testing, and predictive modeling

- Familiarity with SQL, Python/R, and data visualization tools (Power BI, Tableau)

- Passion for understanding, learning, and identifying the latest technology trends and machine learning based solutions.

- Ability to drive initiatives independently, with minimal supervision, yet ensuring transparency to team members, SMEs, and other stakeholders.

- Ability to effectively communicate and collaborate with the key stakeholders to work towards generating value for the organization.

- Open-minded professional enjoying and used to working in a multicultural company.

Preferred Qualifications :

- Certified Project Management Professional or PRINCE2 is a plus

- Machine Learning, Gen AI/LLM , Python and Cloud exposure

- Demonstrable track of continuous self-learning is valued.

- A degree in a relevant field such as Computer Science, Engineering and Data Science or Statistics is preferred

- SAFe/Agile