Job Description:
Responsibilities:
Strategic Planning - Partner with relevant stakeholders to develop, communicate and own:
- As a part of the Decision Intelligence frame - To leverage data to gain key insight into business opportunities, effectively presents these insights to business stakeholders, and focus on facilitating data-driven change and creating business value.
- Strategies scope of projects from inception to closure. Define, develop, and manage implementation schedules and project budgets.
- Provide leadership and direction to cross-functional Delivery teams being the Single point of contact for delivery.
- Drive and coordinate crisis management.
Specific Responsibilities Includes:- Improve the process of gathering, understanding, and documenting detailed business requirements using appropriate tools and techniques
- Focus on the application of analytics to drive measurable business results.
- Coordinate resources, prepare cross-functional project teams for kickoff and ensure effective completion of project milestones, control project scope, and mitigate risks.
- Partner closely with senior and executive leaders across the organization to drive operational excellence through data analytics and create new business opportunities.
- Handle client interaction, and client negotiations and build strong documentation.
- Work closely with the team to support ad hoc requests from business users and liaisoning with internal and external clients to fully understand data content.
- Work closely with the product, marketing, and business team to provide data analytics content.
- Responsible for ongoing customer support, driving adoption and customer satisfaction.
Requirements:Qualifications:
- MBA or Master's degree in Econometrics, Computer Science, or a related technical field.
- 10 to 12 years of experience solving analytical problems using quantitative approaches
- Extensive background in developing and delivering complex projects throughout the lifecycle in the Agri Banking/financial services industry.
- Experience communicating quantitative analysis results
- Experience in working with big data and unstructured data in a big industrial setup.
- Good Understanding of SDLC and architecture.
- Flexible leadership style and willingness to be hands-on while building out teams and practices in a growing organization.
- Familiarity with data vendor ecosystem and leveraging of third-party data sets as extensions of first-party data
- Creative problem solver, able to build contingency plans and handle stressful situations professionally.
- Project Management Professional (PMP) or Certified Scrum Master (CSM) certification is preferred.
Benefits:- Opportunity to work on a unique and futuristic technology setup
- Flat organizational structure and accessibility
- Additional allowances for learning, skill development, broadband, medical insurance cover, employee assistance program, etc.