Required Skills Experience with Master Data Management principles and concepts 5-8 years experience with Master Data Managements platforms, preferably Reltio Expertise in configuring the Reltio Data Model, match & merge rules, survivorship rules, etc. Proficient in working with Reltio APIs Experience in managing Reference Data Management (RDM), User Management, UI Config, handling LCA and Workflow Experience working with Reltio Integration Hub Expertise in Loading/exporting data into/from Reltio and optmising the processes Expertise in the design, data modelling creation, and management of large datasets/data models Experience with ETL/File Movement services, preferably AWS Experience in working in Agile - agile methodologies, coding standards, code reviews, source management (GITHUB), build processes Defining best practices, developing and optimising technical standards, design principles, best practices, and frameworks Ability to adapt quickly in a constantly changing environment Technical curiosity and desire to innovate.

Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization oftware to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience. Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently.

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

*Bachelors degree in computer science, Information Technology, Information Security, or related field (or equivalent experience) *Knowledge on Splunk, Firewall, and any Security tools along with CloudFlare WAF *Knowledge on Cloud Security * Experience working in a technical support or helpdesk role is preferred * Familiarity with enterprise security tools such as SIEM, IDS/IPS, EDR, web application firewall, identity and access management solutions, etc. * Basic understanding of networking concepts and protocols (TCP/IP, DNS, DHCP, etc.) * Proficiency in at least one scripting language (e.g., Python, PowerShell) is a plus * Certifications such as CompTIA Security+, CISSP, CCSP or GIAC are advantageous but not required * Ability to prioritize and manage multiple tasks simultaneously * Strong problem-solving skills and a methodical approach to troubleshooting * Adaptability and willingness to learn new technologies and processes * Commitment to providing exceptional customer service and support

Key accountabilities will include the following: SME on multiple functional areas related to Sales Force Effectiveness. Lead multiple projects for US & IBU geographies and ensuring quality and timely delivery of the projects Project management on multiple workstreams through effective delegation & planning Excellent Communication skills with stakeholders of various geographies Mentor and coach team members to support talent development of the team Monitor customer and marketplace to identify opportunities to optimize sales operations strategy Lead the creation of models such as the customer behaviour profile to support the Sales teams by tracking performance of the field force Partner with affiliates to determine their SFE challenges & create proposals / brainstorm techniques to solve those Evaluate and resolve complex business and operational problems / challenges that arise in the course of the projects Complete ownership of analysis on effectiveness of field force incentives and development of the incentive plan for field force Work with the HR and Sales teams to set annual targets for the field force and provide inputs to optimize the field force effectiveness Manage approval on the plan, calculate the incentive amount for all sales associates based on the plan and coordinate pay-outs Use data and reports to develop, optimize and implement strategies to improve sales team performance Suggest new & novel ways to measure & improve call & channel execution Leverage statistical analyses such as regression, Anova, A/B testing, prescriptive analytics etc. to track KPIs, draw insights in all areas in SFE Create & test proof of concepts of new technologies such as Gen AI, ML etc. in SFE processes Present new insights, capabilities & solutions to key stakeholders Basic Qualifications Bachelors Degree Ensure compliance with company policies and any applicable state and federal marketing and promotion laws and regulations. Additional Skills/Preferences Demonstrated ability to effectively lead, challenge, and influence across executives and all other levels Previous successful business operations & consulting experience Strong expertise, learning agility & analytical mindset Excellent communication (written & verbal) and prioritization skills with attention to detail High level of motivation and a strong desire to find creative solutions to challenging situations Analytics, or sales incentive experience +10 years of professional work experience Bachelor's degree; master's degree or equivalent experience is a plus Good focus on detail, accuracy, and ability to solve problems through analytical reasoning Experience in business analysis & related work profiles

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

*Bachelors degree in computer science, Information Technology, Information Security, or related field (or equivalent experience) *Knowledge on Splunk, Firewall, and any Security tools along with CloudFlare WAF *Knowledge on Cloud Security * Experience working in a technical support or helpdesk role is preferred * Familiarity with enterprise security tools such as SIEM, IDS/IPS, EDR, web application firewall, identity and access management solutions, etc. * Basic understanding of networking concepts and protocols (TCP/IP, DNS, DHCP, etc.) * Proficiency in at least one scripting language (e.g., Python, PowerShell) is a plus * Certifications such as CompTIA Security+, CISSP, CCSP or GIAC are advantageous but not required * Ability to prioritize and manage multiple tasks simultaneously * Strong problem-solving skills and a methodical approach to troubleshooting * Adaptability and willingness to learn new technologies and processes * Commitment to providing exceptional customer service and support

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience. Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently.

4- 6 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes). Familiarity with version control systems (e.g., GitHub). Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow.

Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience. Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently.

Required Skills Experience with Master Data Management principles and concepts 5-8 years experience with Master Data Managements platforms, preferably Reltio Expertise in configuring the Reltio Data Model, match & merge rules, survivorship rules, etc. Proficient in working with Reltio APIs Experience in managing Reference Data Management (RDM), User Management, UI Config, handling LCA and Workflow Experience working with Reltio Integration Hub Expertise in Loading/exporting data into/from Reltio and optmising the processes Expertise in the design, data modelling creation, and management of large datasets/data models Experience with ETL/File Movement services, preferably AWS Experience in working in Agile - agile methodologies, coding standards, code reviews, source management (GITHUB), build processes Defining best practices, developing and optimising technical standards, design principles, best practices, and frameworks Ability to adapt quickly in a constantly changing environment Technical curiosity and desire to innovate.

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

Required Skills Experience with Master Data Management principles and concepts 5-8 years experience with Master Data Managements platforms, preferably Reltio Expertise in configuring the Reltio Data Model, match & merge rules, survivorship rules, etc. Proficient in working with Reltio APIs Experience in managing Reference Data Management (RDM), User Management, UI Config, handling LCA and Workflow Experience working with Reltio Integration Hub Expertise in Loading/exporting data into/from Reltio and optmising the processes Expertise in the design, data modelling creation, and management of large datasets/data models Experience with ETL/File Movement services, preferably AWS Experience in working in Agile - agile methodologies, coding standards, code reviews, source management (GITHUB), build processes Defining best practices, developing and optimising technical standards, design principles, best practices, and frameworks Ability to adapt quickly in a constantly changing environment Technical curiosity and desire to innovate

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

Requirements Bachelors degree. Minimum of 8 years of experience in wholesale operation, technical project management, or a related role in a B2B environment. Strong proficiency in data analysis tools and software and data visualization platforms. Exceptional verbal and written communication skills, with ability to articulate complex technical concepts to non-technical stakeholders and foster effective teamwork. In-depth knowledge of data governance frameworks, data quality management, and automation technologies is strongly preferred. Advanced problem-solving skills and a proactive mindset, with a demonstrated ability to manage multiple projects and deadlines effectively. Open-mindedness to embrace new ideas and perspectives, fostering an inclusive work environment. Self-motivated and result-oriented, demonstrating the ability to take initiative and drive tasks or projects to completion independently. Key Responsibilities: Collaboration & Communication: Lead and facilitate real-time communication with the wholesale team and technology team, 3rd party if needed, ensuring alignment on task objectives and timelines. Actively participate in strategy meetings, daily business execution, providing insights based on technical expertise to guide business operation and decision-making. Technical Implementation: Oversee collaborate with the technology team to design, develop, and implement interim solutions such as automation scripts and data integration tools to improve workflow efficiency. Evaluate and enhance existing bots, tools and related systems, providing troubleshooting and maintenance support to ensure reliable performance. Cooperate with the technology team to establish the end-to-end wholesale business to business solutions, including SAP. Data Stewardship: Monitor and uphold data integrity across all systems, ensuring accuracy, consistency, and reliability of data used within wholesale operation. Establish and enforce data governance policies and procedures, ensuring compliance with best practices and industry regulations. Conduct regular data quality assessments, proactively identifying and resolving discrepancies or issues as arise. Data Analysis & Insights Utilize advanced data analysis techniques using tools such as Excel, SQL, VBA, or data visualization software to evaluate current wholesale processes. Co-create or present comprehensive reports highlighting key KPI and provide actionable recommendations for enhancing operational effectiveness and driving growth. Onboarding Support: Lead the onboarding processes for new wholesale partners, internal team and vendors, creating structured training programs that help them understand our systems, tools, and expectations. Develop comprehensive user guides and resources to facilitate a smooth transition and cultivate strong relationships between our business and partners. Continuous Improvement: Research industry trends and emerging technologies to identify opportunities for innovation and improvement within our wholesale operations. Strategize, develop and implement process improvement initiatives aimed at reducing inefficiencies and enhancing the overall customer experience.

Required Skills Experience with Master Data Management principles and concepts 5-8 years experience with Master Data Managements platforms, preferably Reltio Expertise in configuring the Reltio Data Model, match & merge rules, survivorship rules, etc. Proficient in working with Reltio APIs Experience in managing Reference Data Management (RDM), User Management, UI Config, handling LCA and Workflow Experience working with Reltio Integration Hub Expertise in Loading/exporting data into/from Reltio and optmising the processes Expertise in the design, data modelling creation, and management of large datasets/data models Experience with ETL/File Movement services, preferably AWS Experience in working in Agile - agile methodologies, coding standards, code reviews, source management (GITHUB), build processes Defining best practices, developing and optimising technical standards, design principles, best practices, and frameworks Ability to adapt quickly in a constantly changing environment Technical curiosity and desire to innovate