General Manager - Digital Business Partner

Job Description:

- Work as a thought partner and a catalyst to ensure there is a continuous roadmap in the function/BU for digitalization like leverage of AI, process mining, basic BI engines, RPA, advanced automation etc.

- 60% focus on the activities such as Established tech: This includes Data governance, Business Process

- Management Systems, Automated Process Workflows, Rules bed alerts and notifications and adoption of basic digital practices which have solved in the industry.

- Promote high adoption low code / no code tools for democratization of technology

- 40% focus on Emerging Technology- This includes leverage of AI for decision support, e.g. predictive pricing, predicting attrition, AR/VR, Co-bot solutions, for business controls

- Actively participate, along with cohort of other Digital Business Partners, for exchanging knowledge and best practices with all tech entities such as Innovex, group CDIO and Tech partners

- Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories.

- Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business problems.

- Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices

- Bridge the gap between business and IT through Inter personal relationship management skills, which will also include upward coaching for senior leadership

- Lead discussions at peer review and use interpersonal skills to positively influence decision making

- Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects

- Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment

- Facilitate intra-inter function/BU sharing of new ideas, learnings, and best practices

- Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor

- Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations