Skip to main content

Daily activities of a program manager

 

Daily activities of a program manager

Planning

Program managers plan and develop the inter related project idea. They also plan for change and risks across all projects part of the program

Budgeting

Program managers set budgets, scopes schedule and get approval from stakeholders, develop and control deadlines, budgets, and activities.

Communication

Program managers facilitate communication among a program's cross-functional team. They also manage stakeholder communications and reporting.

Strategic guidance

Program managers provide strategic guidance to the company's project managers and team have the visibility on the program vision and goal . They also collaborate with portfolio managers to make sure that their program plan aligns with their organization's program.

Risk management

Program managers apply Risk management process of identifying, assessing and controlling financial, legal, strategic, security and other risks of the program.

He work with project managers on mitigating the risk.

Quality control

Program managers are responsible for quality control like Velocity, Scope creep, Review efficiency, Defect Leakage, Resource Utilization (Load Factor), Planned vs Actual Deliverables, Revenue.

Stakeholder communications

Program managers manage stakeholder communications and reporting like Daily meeting with Project Managers, Weekly connect with Team and client, Program status report to Portfolio Manager.

Project delegation

Program managers give detailed attention to program strategy, project delegation, and program implementation.

He/ She delegate project deliverables to Project managers and monitor from bird eye view.

Other daily activities of a program manager include:

  • Team building
  • Assigning and monitoring work
  • Making schedules
  • Strategizing workflows
  • Defining KPIs for evaluating progress and success 
  • Managing communication with all stockholders

  




Comments

Popular posts from this blog

New way of product development

Today is the era of fast-paced world and competitive world. Companies are realizing that the old sequential approach to developing new products won’t get the job done and product can’t be reached to market when compared to competitors. The 4 stages of product development are as follows – R&D, Growth, Maturation, and Decline. Instead of sequential approach, companies are using holistic approach – as in rugby game, the ball gets passed within the team as it moves as a unit up the field. This holistic approach has six characteristics: 1)     Build-in-instability 2)   Self-organizing project teams 3)   Overlapping development phases 4)   Multi-learning 5)   Subtle (very clear and strong) control 6)   Organizational change to explore and learning The above six characteristics forming a fast and flexible process for new product development with advantage of act as a change agent, creative, market driven ideas, flexi...

Product Manager vs Product Owner

Both the product manager and the product owner work towards a common goal, to build and improve products that create meaningful value for customers and all stakeholders within the company. This usually happens by delivering and optimizing product features. Product Manager Product Owner The product manager discovers what users need, prioritizes what to build next, and rallies the team around a product roadmap. The product owner is responsible for maximizing the value of the product by creating and managing the product backlog. This person creates user stories for the development team and communicates the voice of the customer in the Scrum process.      Product Manager and Product Owner's work on below vacuum. Product manager focus on: Business Strategy Long term Product Vision Long term Product Strategy Product Roadmap Alignment with Product Owner Product owner focus on: Release Plan (Product Backlog ie: ...

Data & Analytics

Data and analytics is the management of data for all uses and the analysis of data to drive business processes and improve business outcomes through more effective decision making and enhanced customer experiences. Four Types of data analytics: 1.         Predictive data analysis Predictive analytics may be the most commonly used category of data analytics. Businesses use predictive analytics to identify trends, connections between data, and relationship between data. 2.        Prescriptive data analytics Prescriptive analytics is where AI and big data combine to help predict outcomes and identify what actions to take. Prescriptive analytics can help answer questions such as “What if we try this?” and “What is the best action?” You can test the correct variables and even suggest new variables that offer a higher chance of generating a positive outcome. 3.        Diagnostic data analyti...