Senior Vendor Relations Manager

As a Senior Vendor Relations Manager, you need to collaborate with business and operations teams to make resource development and management plans based on market and customer needs. You are not only a strategic architect for AI data training talent, but also the 'data nerve centre' that empowers business growth. You will be responsible for building, maintaining, and optimizing a talent network, and providing crucial data support and insights for sales, project management, finance, and senior decision-making through analysis and application of resource data, directly enhancing the company's competitiveness, profitability, and customer satisfaction.

You will also get involved in setting of our overall sourcing strategies and related improvement initiatives and we will give you a chance to work closely with colleagues from the quality assurance and production teams.

About Train AI Data Services
 

Training or fine-tuning artificial intelligence (AI) requires data. LOTS of data. However, not just any data will do – our clients need responsible AI data that’s targeted, accurate and reliable to ensure machine learning (ML) success. But preparing AI training data is a monumental task that can take up the vast majority of AI project time, leaving AI teams with precious little time to focus on developing, deploying and evaluating ML models. TrainAI by RWS helps our clients address this challenge head-on. 

With a seamless blend of technological understanding and human intelligence, TrainAI provides complete, end-to-end data collection and content generation, data annotation or labelling, human-in-the-loop data validation and generative AI data services for all types of AI, in any language, at any scale, based on the principles of responsible AI. Today, TrainAI supports four of the world’s top five technology companies, enhancing the performance of their generative AI applications by providing services such as prompt engineering, response refinement and red teaming with locale-specific domain experts across a broad range of topic areas and educational levels. Visit rws.com/trainai to learn more. 

Key Responsibilities

Strategic Resource Planning and Data Modeling:

• Based on historical project data and business growth goals, construct a resource demand forecasting model to provide data-driven resource strategy recommendations for entering new markets and expanding into new fields.
• Analyze structured data of resource pools (such as language coverage, domain expertise, utilization, cost trends), identify resource gaps and optimization opportunities, and develop action plans.
• Manage the partnership with the core delivery team and conduct quarterly business reviews (QBR) based on performance data (quality, timeliness, cost).

Data driven resource recruitment and evaluation:

• Utilize data analysis, such as recruitment channel conversion rate and candidate success rate, to optimize talent sourcing strategies and improve recruitment efficiency.
• Establish and maintain a quantitative and standardized resource capability assessment system (KPI), including language proficiency, technical proficiency, domain knowledge, reliability, etc., and convert it into analyzable data points.
• Responsible for contract negotiation, rate benchmark analysis, and onboarding process for new resources.

Data services and business intelligence support:

• Pre sales support: Provide accurate and dynamic cost simulation analysis based on historical data for the sales team to enhance the persuasiveness of bidding proposals.
• Cost control: Monitor the deviation between actual project costs and budgets, analyze the root causes of overspending, output insight reports on the impact of resource selection on profit margins, and promote cost reduction and efficiency improvement.
• Strategic decision support: Regularly generate quarterly reports on resource management, including but not limited to: resource pool health, cost trend analysis, comparison of production capacity and demand in various languages/fields, supplier performance ranking, etc., to provide decision support for management to formulate strategies.
• Customer Success: Analyze performance data of exclusive resources for major clients, generate value reports, and assist the customer success team in showcasing the value-added services our company brings.

Skills & Experience

• Bachelor's degree or above
• Strong experience from a role related to vendor management / recruitment / sourcing or similar combined with experience, with at least 2 years focused on resource management, supplier management, or data analysis roles.
• Data service experience is highly preferred.
• Great communication skills, fluency in English, both spoken and written.
• Ability to establish and to keep long-lasting relationships with business partners, both internal and external
• Strategic thinking, business oriented, with excellent problem-solving and project management skills.
• Strong data analysis skills: proficient in Excel (such as pivot tables VLOOKUP), Outlook, PowerPoint
• Have experience using SQL, Power BI, Tableau, or other BI tools for data querying, cleaning, visualization, and analysis.
• Be able to translate business issues into data analysis requirements.
• Ability to multitask and meet deadlines while working under pressure
• Business oriented mindset with positive personality

Our purpose is to unlock global understanding. This means our work fundamentally recognizes the value of every language and culture. So, we celebrate difference, we are inclusive and believe that diversity makes us strong. We want every employee to grow as an individual and excel in their career. 

In return, we expect all our people to live by the values that unite us: to partner, putting clients fist and winning together, to pioneer, innovating fearlessly and leading with vision and courage, to progress, aiming high and growing through actions and to deliver, owning the outcome and building trust with our colleagues and clients.

RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics. 

RWS Values 

Get the 3Ps right – Partner, Pioneer, Progress – and we´ll Deliver together as RWS.

Recruitment Agencies: RWS Holdings PLC does not accept agency resumes.  Please do not forward any unsolicited resumes to any RWS employees.  Any unsolicited resume received will be treated as the property of RWS and Terms & Conditions associated with the use of such resume will be considered null and void.