The County of Alameda is seeking a contractor to conduct a comprehensive classification and compensation study for the District Attorney's Office. The study will evaluate the appropriateness, consistency, and competitiveness of classifications and salaries to ensure they align with the County's organizational needs, labor market standards, and strategic goals. The contractor will be expected to deliver a comprehensive, data-driven classification and compensation framework for the DA's Office, including actionable recommendations and stakeholder-validated findings. The contractor will also be required to present the results to HRS management and other stakeholders.
Key aspects of the job include:
* Conducting a thorough examination of existing job classifications to determine their accuracy, relevance, and alignment with actual duties performed
* Developing and distributing Position Description Questionnaires (PDQs) to gather detailed information about employee duties and responsibilities
* Conducting interviews and/or focus groups with DA's Office leadership, managers, supervisors, and employees to gain qualitative insights and context
* Analyzing existing classification data, including class specifications, number of incumbents per classification, vacant classifications, personnel rules and policies, reclassification procedures, and criteria used for establishing new classifications
* Evaluating classifications for consistency in scope of duties, complexity of work, supervisory responsibilities, required knowledge, skills, and abilities, working conditions, and exemption status under the Fair Labor Standards Act (FLSA)
* Providing recommendations for revisions to existing classifications, creation of new classifications, or consolidation/elimination of outdated classifications as needed
* Assessing both internal equity and external market competitiveness, including benchmarking against comparable Bay Area jurisdictions
* Developing preliminary salary recommendations based on findings
* Preparing and presenting a comprehensive Classification and Compensation Report summarizing methodologies, data sources, findings, draft job specifications, and recommendations