cpvmnw@srdc.org

Model 1: Milestones to Employment

Milestones to Employment — an example

MODEL OVERVIEW

The Milestones to Employment model takes a demand-led approach on preparing newcomer women who identify as visible minority for jobs in high-growth industries and sectors. The model provides learning pathways to employment for a large employer or a sector based on the achievement of multiple intermediate steps, or milestones, leading to the desired employment outcomes. Its aim is to facilitate the transition to a work placement with the ultimate goal of continued employment and advancement.

By aligning training with the newcomer women’s needs while also preparing them to meet the needs of employers in specific sectors, it is making sure that the job placements are beneficial for both employers and job seekers.

TARGET POPULATION

This model targets newcomer women job seekers who identify as visible minority who do not have multiple barriers that would prevent them from participating in employment services, but who are otherwise relatively distant from the labour market (e.g., those with little or no Canadian work experience, individuals with lower education credentials or skills or working in precarious, part-time or “survival” jobs).

KEY FEATURES

The model consists of three main components:

1) a classroom-based training component (milestones #1–2), which builds an “on-ramp” for job seekers to prepare them for a work placement—this component may take one month or longer, depending on learners’ distances from the labour market;

2) a work placement offered by a large employer/sector (milestone #3), with duration that would vary depending on the nature of the job; and

3) a job attachment and retention component (milestones #4–6), in which post-training supports are offered to learners as they transition to the workplace—job retention such as job coaching to be provided for 3 to 12 months to monitor the employment relationship and to provide support if need.

SERVICE PARTNERS

This model is currently being tested by Achēv, and MOSAIC.