Job responsibilities
- Lead the transformation of strategic plans into high-impact programs and projects, utilizing your expertise in project management and strategic thinking to deliver results across various business units.
- Oversee the execution of programs, ensuring alignment with business strategy, effective risk mitigation, and timely delivery of commitments.
- Utilize data analytics to monitor program progress, make informed decisions, and direct necessary adjustments to ensure the successful delivery of program commitments.
- Build, lead, and manage diverse teams, fostering an environment of continuous learning and growth, and effectively delegating tasks to ensure efficient and effective achievement of objectives.
- Engage with senior management and stakeholders, providing regular updates on program progress, and collaborating to resolve any arising issues.
- Work closely with subject matter experts to learn about the business and identify innovative AI solutions, balancing technical excellence with tangible commercial impact.
Required qualifications, capabilities, and skills
- Proven ability to lead and manage complex programs or projects, delivering results across various business units, typically demonstrated through 4+ years of relevant experience.
- Demonstrated proficiency in data analytics, with the ability to interpret models, make inferences from data, and provide continuous insight for program execution.
- Proven experience in conflict management, with the ability to identify conflicts, facilitate discussions, and create win-win solutions using collaboration or negotiation strategies.
- Proficiency in strategic thinking, with the ability to use data to understand issues and opportunities, evaluate potential scenarios, and collaborate on strategy and priority development.
- Deep expertise in both traditional AI/ML and generative AI and passion for problem solving and innovative (out of the box) thinking
Preferred qualifications, capabilities, and skills
- Extensive Artificial Intelligence use cases to enhance project outcomes and drive data-driven decision-making.
- Hands-on automation to streamline project workflows and increase operational efficiency.
- Deep expertise in statistical analysis, experimental design, and causal inference.
- Proficiency in Python, orchestration frameworks, SQL and other analytical tools.