Our Sales Strategy & Operations team builds the go-to-market engine that helps connect our solutions with customer needs at scale. In this role, you will partner with senior sales leaders to solve high-priority strategic and operational challenges, improve seller productivity, and help drive revenue growth. You will lead core planning and execution processes across areas such as territory design, quota setting, forecasting, and performance reporting, while working closely with cross-functional partners including Finance, Deal Desk, Compensation, and Systems. You will also help evolve how we use automation and AI-enabled tools to improve decision-making, increase efficiency, and support execution across the business.

You’re a strategic and analytical problem solver who is comfortable navigating ambiguity, influencing cross-functional stakeholders, and translating data into clear recommendations. You bring strong communication skills, sound judgment, and a passion for improving how the business operates at scale.

Responsibilities

• Lead strategic and operational projects that shape LinkedIn’s go-to-market model and improve business performance
• Drive core sales planning processes, including customer segmentation, headcount planning, territory design, and quota setting
• Deliver business insights and recommendations that inform forecasting and decision-making for sales leadership
• Own and improve critical sales operations processes, reporting, dashboards, and audits
• Partner cross-functionally to strengthen data quality, improve processes, and deliver scalable solutions
• Support operating cadence by monitoring key metrics, surfacing risks, and identifying opportunities for improvement

Job description

Design, plan and implement network IT Infrastructure for Transformation / Integration / Segregation throughout Food and Environment testing businesses across Europe. These projects will be aimed to perform installations, configuration and migrations of enterprise-level network IT infrastructure systems from legacy to the new solutions

· Propose and deliver solutions that best meet the business needs in terms of security, cost and bandwidth

· Work close with Server, Cloud, Application team members do deliver the IT Infrastructure as wider project. Act based on the end to end view of the Infrastructure

· Document the solutions delivered and help to transition the service to regional teams in final stage of the project

· Act as L3/L4 point of contact after the Infrastructure Service is transitioned to the target teams

REQUIRED SKILLS:

An ideal candidate should have strong 5+ years experience in all of the below:

· Experience in Network infrastructure design and build

· Network components maintenance experience (upgrades etc)

· Firewalls (ideally Fortigate, Checkpoint)

· Data centre network experience

· Cisco or Fortinet based routing and switching (CCNA level)

o Knowledge of protocols: IP, SNMP, SMTP, OSPF, VLAN

o ACLs

o Static routing

· SDWAN (ideally Velocloud or Fortigate)

· Switch stacking

· Experience of complex network migrations

· Cisco wireless experience

· Ability to read, understand and create technical documentation of the delivered solutions

· Collaborative team player

Job Summary:
We are seeking an experienced and strategic Senior Manager – Data Science to lead data-driven initiatives and build advanced analytics capabilities. The ideal candidate will have a strong background in data science, machine learning, statistical modeling, and team leadership. This role requires the ability to translate complex business challenges into actionable insights and scalable data solutions.

Key Responsibilities:

• Lead and mentor a team of data scientists, analysts, and machine learning professionals.
• Develop and implement data science strategies aligned with business objectives.
• Design, build, and deploy predictive models, machine learning algorithms, and analytical solutions.
• Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business decisions.
• Oversee data collection, processing, validation, and analysis to ensure accuracy and reliability.
• Present analytical findings and recommendations to senior stakeholders and leadership teams.
• Monitor model performance and continuously improve analytical methodologies.
• Establish best practices for data governance, model management, and analytics processes.
• Drive innovation by evaluating emerging technologies, tools, and industry trends in data science and artificial intelligence.
• Ensure projects are delivered on time while maintaining high-quality standards.

Required Qualifications:

• Master's degree or higher in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
• Extensive experience in data science, machine learning, predictive analytics, or advanced statistical modeling.
• Proven experience leading and managing high-performing analytics or data science teams.
• Strong proficiency in Python, R, SQL, and data visualization tools.
• Experience working with machine learning frameworks and cloud-based data platforms.
• Excellent problem-solving, analytical, and decision-making skills.
• Strong communication and stakeholder management abilities.

Preferred Skills:

• Deep understanding of AI, machine learning, and big data technologies.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of MLOps, model deployment, and scalable data architecture.
• Ability to manage multiple projects and prioritize competing business needs.

Key Competencies:

• Strategic Thinking
• Leadership & Team Management
• Business Acumen
• Data-Driven Decision Making
• Innovation & Continuous Learning
• Stakeholder Management
• Communication & Presentation Skills