Leads IT consulting projects from system and process analysis through solution proposals, implementation support and project management, coordinating client stakeholders with data scientists and engineers. The role also includes PMO work and reporting.
About this role
This HR role in JDSC’s Human Resources and Organization Development group spans specialist hiring and post-hire employee development. It supports a company hiring data scientists, engineers and consultants for data-based solutions to industry-wide challenges, linking recruitment with onboarding, contribution and retention. Work includes defining role requirements with business teams; building candidate pipelines through recruiting agencies, direct sourcing and referrals; operating selection, candidate engagement and offer closing. The role then designs onboarding, follows up on employees’ early progress, coordinates ramp-up with managers and identifies retention risks. It also maps skills, experience and career interests, supports assignment and career discussions, and uses post-hire outcomes to refine selection assessments, hiring criteria, processes and job descriptions. Required experience is approximately three or more years in either staffing-agency recruiting as an account representative, candidate consultant or full-cycle consultant, or mid-career recruitment at a consulting firm, IT company or similar setting.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Supports specialist hiring by engaging candidates, coordinating selection, managing applicant data and agency relationships, and improving recruitment processes with hiring teams.
Leads company-wide recruiting strategy and team operations, coordinating hiring plans, budgets, sourcing channels and KPIs while recruiting across engineering, business and corporate roles.
Leads Logmi’s IR Solutions sales organization, overseeing field sales and customer success, setting strategy and KPIs, improving retention and LTV, and developing new business opportunities.
Lead enterprise AI transformation from assessment through implementation and adoption. Structure business challenges, set KPIs and ROI, and work with engineers to deliver AI agents.
Lead new B2B SaaS product launches through customer discovery, MVP validation, KPI and roadmap planning, and early market rollout with cross-functional teams.