Search TSR Jobs

About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee’s voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data & AI Ethics Privacy SME

Job Description

  • Location: Chicago, Illinois
  • Type: Contract
  • Job #80389

Our client, a leading financial company, is hiring a Data and AI Ethics Privacy SME on a contract basis

Job ID #: 80389

Work Location: REMOTE

Summary:

Please note this role will be fully remote and the selected candidate will not be expected to report to any onsite location.

Data & AI Ethics, Privacy SME
Responsible for overseeing and implementing ethical practices and principles in the development and deployment of artificial intelligence (AI) technologies within an organization. They play a crucial role in ensuring that AI systems are designed and used in a responsible, fair, and transparent manner.

The key responsibilities of a Data & AI Ethics, Privacy SME typically include:

• AI ethics strategy: Implementing an AI ethics strategy and framework that aligns with the organization’s values and regulatory requirements. Defining ethical guidelines and principles for AI development, deployment, and use.

• Ethical AI governance: Establishing governance structures and processes to ensure adherence to ethical standards and policies throughout the AI lifecycle. Collaborating with cross-functional teams to integrate ethical considerations into AI development and decision-making processes.

• Risk assessment and mitigation: Identifying potential ethical risks and biases associated with AI systems. Conducting risk assessments and implementing mitigation strategies to address issues related to fairness, transparency, privacy, and accountability.

• AI Governance Framework: Develop the AI Governance framework, including performing assessments, documenting the approach, and building a rollout plan.

• Ethical AI guidelines and policies: Communicating guidelines, policies, and best practices for the responsible use of AI technologies. Ensuring that employees and stakeholders are aware of and adhere to these guidelines.

• Anonymization & De-identification: Design and implement effective anonymization techniques to protect sensitive data while maintaining its utility for analysis and reporting.

• Stakeholder engagement: Collaborating with internal stakeholders, including legal, compliance, privacy, and business teams, to understand their concerns and perspectives on AI ethics. Engaging in dialogue and fostering partnerships to promote ethical AI practices.

• Ethical AI training and awareness: Conducting training workshops to educate employees and stakeholders on AI ethics, responsible AI practices, and potential ethical challenges associated with AI technologies.

• Ethical AI audits and assessments: Conducting regular audits and assessments of AI systems to evaluate their compliance with ethical standards and identify areas for improvement. Recommending and implementing corrective actions as needed.

• External partnerships and industry engagement: Engaging with external organizations, industry groups, and regulatory bodies to stay updated on emerging ethical AI practices and contribute to the development of industry-wide standards and guidelines.

A Data & AI Ethics, Privacy SME plays a critical role in ensuring that AI technologies are developed and used in an ethical and responsible manner. They help build trust in AI systems, mitigate ethical risks, and promote transparency and fairness in AI decision-making processes.

Pay Range:  $84-86

Include a message to the recruiters.
Attach a resume file. Accepted file types are DOC, DOCX, PDF, HTML, and TXT.

We are uploading your application. It may take a few moments to read your resume. Please wait!