Sr. Manager - Projects
Cognizant
Date: 6 days ago
City: Chennai, Tamil Nadu
Contract type: Full time
Principal Product Consultant
Qualification
Science / Engineering graduate
Responsibility
Operations Review:
Qualification
Science / Engineering graduate
Responsibility
Operations Review:
- Track the profitability across multiple engagement(s), plans corrective actions when necessary, drive cost optimization on the engagement by optimizing on the resource mix (offshore vs onshore etc).
- Provide the solution, create a response team and drive RFP responses.
- Anchor the consulting proposal endtoend.
- Lead proposal development in planning, organizing proposals end to end.
- Create business case/ROI Identify the response team and drive solution building Analyze the suggested solution to solve the business problem with a view to proactively identify risks, identify scope creep and estimate for the engagement.
- Present the solution to the customer where needed.
- Analyze the customer needs through discussions, data collection and analysis.
- Use knowledge base from prior projects to design the solution.
- Review deliverables created by team members and provide suggestions as required.
- Present the reports and recommendations to customers.
- Provide industry perspective and product experience for qualifying the recommendations.
- Lead a team of consultants in analyzing the client requirements and pain areas by conducting workshops.
- Understand high level fit gap analysis etc.
- Guide and lead the team to design solution in line with the business/IT requirements.
- Provide assistance to consultants in resolving complex requirements.
- Assist the team in preparation and planning for the workshops.
- Review team's deliverables and share feedback/suggestions as required.
- For all projects executed for a product within purview:.
- Review project plan as created by the Product Consultant for individual projects.
- Review resource and task allocation, track project delivery.
- Participate in steering committee meetings to identify and discuss issues / risks.
- Identify course corrections, best practices etc to be implemented to ensure projects meet timelines, quality parameters and expected outcomes.
- Review design and architecture artifacts through the design, development and implementation phases as required.
- Resolve escalated issues that team is unable to resolve and communicate with clients effectively.
- Work with product vendors to resolve product issues.
- Based on projects within a product:.
- Identify areas / addons / functionalities to build solution assets.
- Support the PPC in creation of solution offerings as identified by leadership by creating collaterals etc Institutionalize best practices across the larger group (eg approach to new product implementation, product life cycle changes, tools, best practices for requirements gathering, etc).
- Create training programs.
- Collaborate with the Product partner for the training.
- drive training plan and logistics, Define composition of training batches.
- etc.
- Conduct resource planning.
- Leverage internal team discussions / town halls to identify best practices, trends and technical & functional knowledge and ensure that the same are disseminated with the larger team.
- Collect new achievements, new implementations and circulate the same on quarterly basis with the leadership as well as the products team.
- Monitor updation of proposals, case studies and learning’s.
- Address concerns of different stakeholders and strive towards amicable resolution.
- Understand aspirations of team members.
- Set goals for team members and monitor performance.
- Conduct appraisals.
- Identify, priorities and deploy action items for competency development.
- Guide the employee in setting career paths.
- Participate in senior level talent selection.
- Review progress on employee engagement activities.
- Direct and guide other managers/team leaders on resolving employee complaints.
- Identify, groom, reward and develop high performers and future leaders.
- Generative AI
- Machine Learning
- Data Science
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