滴滴Senior Talent Development Consultant(J250409012)

1.负责人才发展项目的策划、设计和实施; 2.进行人才需求分析，设计相应的发展解决方案; 3.开发和设计人才发展课程和项目; 4.评估人才发展项目的效果，并进行持续优化; 5.为业务部门提供人才发展相关的咨询和支持。

This position will be an integral enabler of the mission of the Business Unit. In this position you will partner with the senior leaders in the  organization along with their respective leadership teams to develop and execute the HR strategies that champion organizational and people effectiveness. You will think strategically as well as roll up your sleeves and dive deep into practical application. You must understand business priorities and translate them into an HR agenda that supports the business as it grows rapidly. At NVIDIA, the HR Business Partner also serves as a liaison between the business and the central corporate teams to assess the human resources needs in areas such as performance management, employee relations, compensation, career development and leadership development. In addition, you will be responsible for: • Work with assigned BU and senior management teams to understand business strategies, diagnose current organization performance, and develop/implement plans to build needed organization capabilities and support bold growth. • Partner with the business on organizational design, talent management and building management bench strength • Leading end to end OD & Learning initiative and programs from gap analysis to best practices solutions • Serve as an advisor and coach to managers and employees on a variety of people issues • Review and analyze business metrics including data on retention and employee experience to recommend systemic improvements • Partner with the business to lead annual review processes which focus on performance management and talent development • Provide compensation support including salary planning, approval of salary actions, promotions and job re-leveling • Participate in BU leadership team meetings and contribute as a business leader • Be a key member of the HRBP team helping to develop world-class HR capabilities • Work with line managers and employees to address various employee issues, fairly representing all interests • Work with business groups to assess, create and implement innovative solutions for a variety of employee engagement initiatives within the client group • Drive teamwork within Global HR to provide excellent HR service delivery

Responsibilities: Ensure sustainable contribution to business performance and target achievement by transforming business strategy and targets into with HR targets and tailor made HR solutions, drive, steer and facilitate change management as well as organizational, talent and leadership attraction, development and retention. 1.Drive organizational effectiveness which including organization design, capability building, and change management etc. 2. Be a partner with international business department, understand business strategy and promote effective planning and implementation of human resource strategy in business department. 3. Analyze workforce information and employment issues, provide consultations to business department in HR policies and procedures. 4. Work with local business department to manage employee relationship and engagement management issues. 5. Lead HR initiatives and programs specific for business department to support business need, and support in other HR activities if required.

Bringing the State of the Art to Products  Collaborates with and bridges the gap between researchers (in community, Microsoft Research [MSR], or in their own organizations) and development teams. Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs.  With limited guidance from others, works to create product impact. Identifies approach, and applies, improves, or creates a research-backed solution (e.g., novel, data driven, scalable, extendable) to positively impact a Microsoft product or service. Solves components or aspects of a problem as assigned by a senior team member. May publish research to promote receiving new intellectual property for product impact.  Participates in collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact. Participates in technology transfer attempts, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups. May publish research to promote receiving new intellectual property for business impact.  Capability Management and Networking  Maintains ties with external network of peers and identifies prospective talent, when asked. May contribute to publications on research findings. May participate in candidate interviews. Collaborates with the academic community to develop the recruiting pipeline and establish awareness of their work.  Reinforces a positive environment by applying best practices. May support mentorship by assisting with onboarding of research interns or other entry-level team members, if applicable.  Documentation  Performs documentation of work in progress, experimentation results, plans, etc. Documents scientific work to ensure process is captured. Participates in the creation of informal documentation and may share findings to promote innovation within group.  Ethics and Privacy  Understands and follows ethics and privacy policies when executing research processes and/or collecting data/information.  Leveraging Applied Research  Applies strategy by understanding the role in the team and applying the strategy provided by senior team members and incorporates state-of-the-art research. Asks probing questions to better understand strategy.  Researches and develops an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency. Contributes knowledge around several specialized tools/methods to support the application of business impact or serves as an expert in a deeply specialized area.  Gains deep knowledge in a service, platform, or domain and acquires knowledge of changes in industry trends and advances in applied technologies. Consults with engineers and product teams to apply advanced concepts to product needs. Learns product domain by reviewing products.  Machine Learning Functionality, Insights, and Technical Tools  Prepares data to be used for analysis by reviewing criteria that reflect quality and technical constraints. Reviews data and suggests data to be included and excluded. Describes actions taken to address data quality problems. Assists with the development of useable datasets for modeling purposes. Supports the scaling of feature ideation and data preparation. Helps take cleaned data and adapts for machine learning purposes, under the direction of a senior team member. Seeks guidance from senior team members when confronted with problems/challenges.  Uses machine learning algorithms that structures, analyzes, and uses data in product and platforms to train algorithms for scalable artificial intelligence solutions before deploying. Begins to develop new machine learning improvements independently while under the direction of a senior team member.  Collaborates to leverage data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem. Uses statistical analysis tools for evaluating Machine Learning models and validating assumptions about the data while also reviewing consistency against other sources. Begins to independently run basic descriptive, diagnostic, predictive, and prescriptive statistics. Assists with the communication of insights under the direction of senior team members.  Supports the application and use of intelligence created during the training of algorithms for deployment. Seeks information about large-scale computing frameworks, data analysis systems, and modeling environments to improve models. Helps create a model, apply the model to real products, and then verify effects through iterations. Helps with experiments by putting multiple models in production and evaluating their performance. Sets up monitoring and implementation to track production models, under the direction of a senior team member. Addresses models when that break, under the direction of others.  Leverages or designs and uses machine learning/data extraction, transformation, and loading (ETL) of pipelines (e.g., data collection, cleaning) based on data prepared.