UKI Data & AI Resource Manager

Introduction
Joining the IBM Technology Expert Labs teams means you’ll have a career delivering world-class services for our clients. As the ultimate expert in IBM products you’ll bring together all the necessary technology and services to help customers solve their most challenging problems. Working in IBM Technology Expert Labs means accelerating the time to value confidently and ensuring speed and insight while our clients focus on what they do best running and growing their business.

Excellent onboarding and industry-leading learning culture will set you up for a positive impact while advancing your career. Our culture is collaborative and experiential. As part of a team you will be surrounded by bright minds and keen co-creators—always willing to help and be helped—as you apply passion to work that will positively impact the world around us.

Your Role and Responsibilities
As a Resource Delivery Manager you will ensure the right resources with the right skills are available to meet our client commitments. In this role you will manage direct and plan staffing for the client projects by working with the local management team to assign resources who have the appropriate capabilities and required skills to be an effective contributor to a specific client project. To ensure consistent methods for staffing you’ll work to design and scale repeatable processes that will ensure long term client satisfaction and organizational profits. As a member of fast pace client focused team you’ll collaborate with colleagues to optimize and trailblaze new solutions that address real business challenges.

We’re passionate about success. If this role is right for you then your achievements mean your career is flourishing your teams are succeeding and our clients are thriving. To help ensure this win-win outcome a ‘day-in-the life’ of this role may include but not be limited to…

Resource Assignment: Defining and executing processes and standards for resource assignment in your assigned territory.

• Aligning Team Skills with Forecasting: Collaborating with teams to align with a long-term view of skills needs and skill gaps needed in the organization based on project forecasting.
• Resource Allocation Analysis and Recommendations: Reporting analysing and recommending solutions for balancing resource over allocation vs resources that are underutilized by applying your knowledge of skills requirements and the Resource Deployment Life.
• Pre-Project Planning: Establishing best practice for pre-project planning (supporting the creation of the Work breakdown structure and staffing plans).
• Relationship Building and Influencing: Developing and influencing relationships with all levels of an organization- from engineers to CxOs- with experience of navigating challenging debate to reach health resolution.

Required Technical and Professional Expertise
The ideal candidate will have:

• a data science background and experience including but not limited to identify use cases building and validating models deployment models via APIs monitoring and retaining models and creating Machine Learning pipelines and train modules.
• Background in several areas including: Computer Science Programming Probability and Statistics or Big Data and Machine Learning.

Preferred Technical and Professional Expertise

• Programming in at least two of the following: Python R Scala or Java. Preference for Python Expert
• Machine Learning pipeline – data ingestion feature engineering modeling including ensemble methods predicting explaining deploying and diagnosing over fitting