Building a Strong TAM Team

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Building a Strong TAM Team

Matching TAM Roles to Skills

When TAM is first initiated, roles can be filled with available staff in a manner that takes advantage of available talents and personalities:

  • TAM Lead: people-oriented and enthusiastic; able to manage conflict across business units.
  • Resource Allocation Leads: analytical and proficient with complex software.
  • Data Collection & Management: detail-oriented and accurate.
  • Field Maintenance Management: task-oriented monitors.
  • Prioritization Leads: comfortable with uncertainty (gray areas), and willing to make decisions.

TAM is a team effort requiring involvement from analysts, managers, and to executive leaders.

Agencies have different skill needs and capabilities. Some agencies might possess skills ideal for one part of the TAM program, while it might be necessary to look outside the agency (outsource) for other skills. Outsourcing, addressed later on, can be pursued to address a vacancy for a highly qualified position, or to make up for the lack of a specific skillset in the agency.

Making the Case for TAM Positions

Building a case for TAM positions requires defining how the gaps in staffing will hold the agency back from achieving its objectives. If possible, describe the anticipated return on investment from the added staff. It can also be helpful to evaluate TAM efforts at peer agencies, to find out if they have a TAM unit, how many people are in it, and what roles and responsibilities they have. Find examples of agencies that successfully made the case for new staff positions and borrow from their approach.

A Forward-Looking Approach

Part of building a strong TAM team is seeking skills that will help to advance practices rather than sustain the status-quo. Advancements in technology are changing the way data are collected, processed and analyzed; and how work is planned and carried out. As automation increases, certain routine tasks become obsolete, while it becomes necessary to acquire new skills to take advantage of improvements. For example, with tools that produce more robust analysis, agencies will need less people who crunch the numbers but more people to interpret and communicate the results.

Typically, when an agency starts its TAM journey, data accuracy is an issue. When data is not accurate, people may lack the confidence necessary to use the data for making decisions. As data quality and availability improve, the TAM program develops a need for stronger data analytic skills.

As processes become more complex, new skills are needed to monitor and carry out checks and balances. TAM aims to cut across traditional silos, which gets complicated as more units and stakeholders get involved. Therefore, TAM units benefit from people who are comfortable dealing with complex processes. This is a capability that can be acquired through hiring or training.