Job Responsibilities :
- Drive innovation in data governance processes by implementing Robotic Process Automation (RPA) solutions through tools like UiPath, creating value through automation.
- Collaborate with cross functional teams like (Data Science Team, Legal Team, Data Risk Pillars) to identify opportunities for strategic process re-engineering.
- Manage and prioritize multiple projects while ensuring timely delivery of high-impact initiatives.
- Leverage data analytics and digital skills to create new insights and deliver well designed applications that together support business transformation
- Develop a strategic roadmap for Intelligent solutions deployment, identifying areas where automation can drive the most impact
- Update the latest trends in data science and AI technologies, implementing best practices across the organization
- Ensure proper governance and compliance protocols are followed for in the solution implementations
- Collaborate with Centre of Excellence team to integrate RPA solutions with existing systems and workflows
- Act as a thought leader and advisor to senior executives on matters of data management and automations
- Communicate complex technical concepts and the value of automation to non-technical stakeholders
- Build strong relationships with data pillar leads to align RPA and data science initiatives with organization priorities
Required qualifications, capabilities and skills :
- Expertise in defining, building out product strategy and roadmap and strong prioritization
- Minimum 12 years of related experience in Data Science or Automation with at least 3 years in leadership role.
- Bachelor’s degree or equivalent work experience required
- Advanced knowledge of the product development life cycle
- Strong expertise in data analytics, machine learning and AI technologies
- Proven track record of successfully implementing RPA solutions across large organizations
- Experience working in automation tools like UiPath, PEGA, Alteryx
- Strong knowledge of programming language like C#, Python, R or similar languages, along with experience in big data platforms like Hadoop or Spark
- Excellent leadership, communication and interpersonal skills
- Experience with SQL, databases and webservices (SOAP/REST)
Preferred qualifications, capabilities and skills :
- Strong communication skills – verbal, written and technical (e.g., PowerPoint). Ability to present concise, direct and timely communications to management and key partners
- Strong analytical and critical thinking skills including attention to detail and multi-tasking
- Experience working in a global, matrixed organization is a plus