Key responsibilities : Develops and authors overall team strategy and approach to Display Ensures best practice, consistency and innovation in all Programmatic activities; ensures knowledge-sharing across teams Liaises with other channel leaders to standardise work output and engages in cross-channel strategic planning Ensures the annual budget is met, working alongside the Senior Management Team Ensures profitability of team through effective resource planning Grows and develops product offering to keep it leading edge Develops key media owner and senior client relationships to enhance our offering

The purpose of this role is to set the strategic direction for the SEO team, taking ownership of assigned projects and driving organic growth. Job Description: Key responsibilities: Define and execute SEO strategies to achieve business objectives. Lead the team in on-page, off-page, and technical SEO initiatives. Conduct in-depth keyword research and competitive analysis. Oversee SEO audits, identifying and resolving technical issues. Monitor performance metrics and report on key insights. Stay ahead of industry trends and search engine algorithm updates. Collaborate with content, development, and marketing teams for seamless execution.

Key responsibilities : Implements process controls to ensure Operational Finance deliverables are achieved on an accurate and timely basis Reviews process documentation ensuring compliance to policies and audit requirements Effectively supervises the team and its deliverables including execution on key process performance indicators Identifies continuous process improvement initiatives and implements best practices to achieve operational efficiencies Effectively identifies risk and manages escalations with key stakeholders where process deficiencies are identified Supervises provision of accurate, timely information to support external, internal and client audits

Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework - Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless : Experience with Azure Function Apps or AWS Lamba functions Cloud : Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile).

The purpose of this role is to provide support and assistance in all areas of managing the client s business and keeping day to day activities running smoothly. Develop and execute strategic business plans to drive growth and retention for key clients. Lead media planning across bothdigital and offline channels, ensuring integration and coherence with the overall media strategy. Foster strong client relationships, understanding their unique needs, and providing tailored solutions to meet their objectives. Manage business teams, encouraging collaboration and high performance. Work closely with cross-functional teams, including buying, operations, finance, strategy, and analytics, to deliver comprehensive services. Craft compelling narratives and presentations to effectively communicate strategies and results to clients and stakeholders. Monitor industry trends and competitor activities to proactively adjust strategies and maintain a competitive edge. The incumbent should have a knowledge of the planning process to be able to collaborate with the Integrated planning team on day to day and candence wise planning work

Core Requirements: 1. Knowledge of Master Data Management (MDM) 2. Experience of working with MDM systems (such as Informatica, IBM Data Stage, Trillium, Semarchy, etc.) 3. Has a Computer Science or numerate degree. 4. Minimum 5 years of SQL experience working in a data warehouse, analytics or data migration environment. 5. Technical Leadership 6. People Management 7. Excellent communication skills with ability to document and present design patterns, code reviews, runbook. 8. Knowledge of record matching and/or data quality issues. 9. Experience of working with integration tools (such as Azure Data Factory, SnapLogic, BizTalk, etc.) 10. Understands project management principals. 11. Has performed demonstrations to stakeholders. 12. Understanding of how to implement algorithms. 13. Database design using normalisation techniques. 14. Experienced in designing Entity Relationship Diagrams. 15. Has worked in a technical team to deliver team goals. 16. Has worked in an Agile environment (using Jira or Azure DevOps or other agile technologies). 17. Worked on internal stakeholder or customer projects. 18. Understands the technical development lifecycle. 19. Must understand the difference between good design and bad design. 20. Use of coding standards. 21. Has created test plans/scripts. 22. Must be a team player. 23. Must be a strong problem solver. The following are preferred requirements: 1. Experience of programming languages (such as C, C++, C#, Python) 2. Experience of Reporting tools (Tableau or Power BI)

Key responsibilities : Supports in the delivery of Programmatic, Social or Search campaigns Applies daily campaign pacing adjustments to deliver campaign budgets and performance Builds/Delivers end of campaign evaluations in which campaign performance data is translated into key learnings for the agency and/or the client. The trader can select the right KPIs and trends / insights for this campaign-end evaluation and can distil next steps for future campaigns Creates Programmatic, Social or Search tactical plans with a focus on driving brand awareness Troubleshoots campaigns set up, tag management, brand safety set up, performance and pace fluctuations Works closely with Account Managers to set up campaigns across various platforms Manages the time management flow, from delivery of creative assets to setup the campaigns on time

Key responsibilities: Integrates disparate datasets, conducts data preparation for analyses Manages and mentors a team of analysts, contributing to their technical and career development Applies data science methods to provide insights and recommendations to clients Maintains knowledge of new trends in the data science industry Independently manages data science projects and delivery to clients Develops and manages code used for analytics purposes Communicates findings and insights

Key responsibilities : Supports in the delivery of Programmatic, Social or Search campaigns Applies daily campaign pacing adjustments to deliver campaign budgets and performance Builds/Delivers end of campaign evaluations in which campaign performance data is translated into key learnings for the agency and/or the client. The trader can select the right KPIs and trends / insights for this campaign-end evaluation and can distil next steps for future campaigns Creates Programmatic, Social or Search tactical plans with a focus on driving brand awareness Troubleshoots campaigns set up, tag management, brand safety set up, performance and pace fluctuations Works closely with Account Managers to set up campaigns across various platforms Manages the time management flow, from delivery of creative assets to setup the campaigns on time

Merkle Inc is looking for Senior Manager - Paid Media to join our dynamic team and embark on a rewarding career journey. Develop and execute comprehensive paid media strategies to drive brand awareness, website traffic, and conversions. Manage day-to-day operations of paid advertising campaigns, including campaign setup, budget allocation, and performance tracking. Conduct keyword research, audience targeting, and ad copywriting to optimize campaign performance. Collaborate with internal teams, including creative, content, and analytics, to ensure alignment of messaging and goals. Monitor campaign performance metrics, analyze data, and provide actionable insights and recommendations for optimization. Stay updated on industry trends, platform updates, and best practices to maintain a competitive edge in paid media advertising. Manage relationships with external partners, including advertising platforms, agencies, and vendors.

Key responsibilities : Supports in the delivery of Programmatic, Social or Search campaigns Applies daily campaign pacing adjustments to deliver campaign budgets and performance Builds/Delivers end of campaign evaluations in which campaign performance data is translated into key learnings for the agency and/or the client. The trader can select the right KPIs and trends / insights for this campaign-end evaluation and can distil next steps for future campaigns Creates Programmatic, Social or Search tactical plans with a focus on driving brand awareness Troubleshoots campaigns set up, tag management, brand safety set up, performance and pace fluctuations Works closely with Account Managers to set up campaigns across various platforms Manages the time management flow, from delivery of creative assets to setup the campaigns on time

Key responsibilities: Integrates disparate datasets, conducts data preparation for analyses Manages and mentors a team of analysts, contributing to their technical and career development Applies data science methods to provide insights and recommendations to clients Maintains knowledge of new trends in the data science industry Independently manages data science projects and delivery to clients Develops and manages code used for analytics purposes Communicates findings and insights

Own delivery and execute AI/ML services at Production scale (for Personalization & Content squads) Lead design and development of robust ML services that are optimized for efficiency and performance in collaboration with data & tech teams Establish best practices for scalable, impactful solutions Influence tech team counterparts and drive alignment Work Experience & Skills: Role 1 (ML engineer - manager) 7+ years of hands-on experience working as an MLE/MLOps or Full-stack Engineer Strong software design & development experience in TypeScript with NodeJS Experience in building and scaling Machine Learning services (APIs) on AWS - API Gateway, Serverless Computing, Caching, Storage and Database concepts using AWS CDK. Familiarity with EKS is a plus. Strong in architecture, data structures & algorithms and familiarity with open-source AI/ML tools and frameworks (e.g. PyTorch, Keras, TensorFlow and TFServ) Experience working in scrum teams with Agile tools like Jira, Miro, Confluence, etc. In addition to the technical skills, all our team members are evaluated on organization-defined Capabilities, which for these roles are: Innovative: To design forward-thinking, scalable solutions aligned with business goals. Drives Results: To deliver tangible outcomes at speed while navigating complexity and ambiguity. Collaborates: To work seamlessly with data scientists, engineers, and tech counterparts, fostering strong partnerships. Inspiring Communication: To translate technical concepts into actionable strategies for both technical and non-technical stakeholders. Openness: To tackle challenges constructively, seek feedback, and create an environment of trust and collaboration Hands-on delivery also expected Role 2 (ML engineer - senior engineer) Expectations for the ML Engineer (3+ years of experience) would be similar from a tech stack point of view, but they will be more hands-on development / execution as opposed to design & strategy that the senior / lead would be involved in.

As Analytics Leader, you will work on some of the latest applications across Analytics / AI / ML to solve complex business problems and demonstrate significant business value to a set of clientele. In doing so, you will closely collaborate with senior stakeholders (internal and clients), data scientists, and technology architects across global locations. You will anchor conceptualization, development and implementation/delivery of impactful solutions to solve complex business problems for clients across industry verticals. Key Focus Areas: Driving business: Collaborate with internal & external stakeholders to convert complex business problems into analytical problems and develop solutions Collaborate with in-market Client Partners to expand client spend in meaningful ways, Work senior client stakeholders to assist in development of analytics roadmaps, improve analytics, AI/ML adoption and overall improve the maturity of leveraging data, analytics and technology Work towards accelerating time-to-value on client programs, while balancing team health Drive internal and client governance forums for zero surprises on program health and to articulate value Driving innovation and solutioning Conceptualize and build advanced AI/ML, Agentic, Synthetic data solutions to solve complex business problems for clients Drive analytics solution design, roadmaps and delivery, collaborating with teams of consultants, data scientists and architects. Measure and articulate value of solutions to help drive adoption by business teams Thought leadership Be responsible for building thought leadership in the areas of advanced analytics, AI/GenAI by contributing in form of case studies, whitepapers, webinars, etc. Participate and lead industry events as applicable Build org for future readiness Guide / mentor program leads on applying best practices in delivery through regular reviews Contribute to organization building through training and mentoring, and by developing assets / best practices If you are looking for an entrepreneurial environment and are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. Required Skills, Competencies & Experience: 15+ yrs experience in delivering advanced analytics solutions or services to clients, which includes a good amount of time as a hands-on practitioner. Hands-on experience with (or significant exposure to) commonly used advanced analytic tools & techniques. Demonstrated ability to white-board and transform ideas from high level business problem statements to a sufficiently detailed outline of the solution Ability to guide teams on developing analytics solution blueprints to client problems which balance business context and technical details Ability to analyze pros-and-cons of different analytic options in the context of multitude of business problems and articulate such choices to technical and business audiences. Ability to build compelling stories from data / model outputs to convey insights to business stakeholders, and drive acceptance & adoption of recommended actions. Confident in communicating with Sr. Director / VP level stakeholders and demonstrate executive presence in interactions with CXO level stakeholders. Ability to drive programs with robust governance mechanisms to ensure programs are reasonably scoped (upfront + evolving), time & effort, cost & value.

As Analytics Leader, you will work on some of the latest applications across Analytics / AI / ML to solve complex business problems and demonstrate significant business value to a set of clientele. In doing so, you will closely collaborate with senior stakeholders (internal and clients), data scientists, and technology architects across global locations. You will anchor conceptualization, development and implementation/delivery of impactful solutions to solve complex business problems for clients across industry verticals. Key Focus Areas: Driving business: Collaborate with internal & external stakeholders to convert complex business problems into analytical problems and develop solutions Collaborate with in-market Client Partners to expand client spend in meaningful ways, Work senior client stakeholders to assist in development of analytics roadmaps, improve analytics, AI/ML adoption and overall improve the maturity of leveraging data, analytics and technology Work towards accelerating time-to-value on client programs, while balancing team health Drive internal and client governance forums for zero surprises on program health and to articulate value Driving innovation and solutioning Conceptualize and build advanced AI/ML, Agentic, Synthetic data solutions to solve complex business problems for clients Drive analytics solution design, roadmaps and delivery, collaborating with teams of consultants, data scientists and architects. Measure and articulate value of solutions to help drive adoption by business teams Thought leadership Be responsible for building thought leadership in the areas of advanced analytics, AI/GenAI by contributing in form of case studies, whitepapers, webinars, etc. Participate and lead industry events as applicable Build org for future readiness Guide / mentor program leads on applying best practices in delivery through regular reviews Contribute to organization building through training and mentoring, and by developing assets / best practices If you are looking for an entrepreneurial environment and are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you. Required Skills, Competencies & Experience: 15+ yrs experience in delivering advanced analytics solutions or services to clients, which includes a good amount of time as a hands-on practitioner. Hands-on experience with (or significant exposure to) commonly used advanced analytic tools & techniques. Demonstrated ability to white-board and transform ideas from high level business problem statements to a sufficiently detailed outline of the solution Ability to guide teams on developing analytics solution blueprints to client problems which balance business context and technical details Ability to analyze pros-and-cons of different analytic options in the context of multitude of business problems and articulate such choices to technical and business audiences. Ability to build compelling stories from data / model outputs to convey insights to business stakeholders, and drive acceptance & adoption of recommended actions. Confident in communicating with Sr. Director / VP level stakeholders and demonstrate executive presence in interactions with CXO level stakeholders. Ability to drive programs with robust governance mechanisms to ensure programs are reasonably scoped (upfront + evolving), time & effort, cost & value.

Role Overview: We are seeking a highly skilled and motivated QA Lead to join our team. The role requires a self-starter who will be critical to the development of a cutting-edge data platform designed to empower our clients to install our identity tools directly to their own local (distributed) environments. The QA Lead will be responsible for defining, implementing, and managing the testing strategy and processes to ensure the delivery of high-quality, public facing software solutions. This role involves creative and investigative QA, with a focus on voice of the customer in UAT environments. You will be collaborating with cross-functional teams including other QA engineers, developers, product and marketing managers, and business owners to improve the testing process and meet business and technical requirements. Key Responsibilities : Test Strategy and Planning : Define and implement the overall testing strategy, with a focus on scaling investigative QA approaches. Develop comprehensive testing approach and tooling aligned with project requirements and timelines. Standardize QA best practices for Snowflake Native Apps across teams. Monitor progress, and ensure timely delivery of testing milestones. Foster a culture of continuous improvement and innovation across QA teams. Testing and Quality Assurance : Conduct functional, regression, performance, and security testing to ensure software reliability and usability. Manage bug tracking and resolution processes using tools such as JIRA. Collaboration and Communication : Collaborate closely with development, product, DevOps and other QA teams to ensure alignment on quality goals and requirements. Participate in requirement reviews, design discussions, and sprint planning sessions to identify potential risks and dependencies. Provide regular updates on QA metrics, progress, and challenges to stakeholders. Qualifications and Certifications : Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Relevant certifications such as ISTQB, Certified Software Test Engineer (CSTE), or equivalent are highly desirable. Snowflake certifications Key Skills and Experience : Experience : 5+ years of SQL and database management 7+ years of experience in software testing and QA Proficiency in manual and automated testing techniques and platforms Expertise in QA methodologies, testing lifecycle (STLC), and Agile/Scrum processes. Strong knowledge of bug tracking tools (e.g., JIRA) test management tools (e.g., TestRail) and monitoring (e.g. Datadog) Hands-on experience with programming languages like Python or JavaScript Understanding of CI/CD pipelines and integration of testing into DevOps workflows. Familiarity with cloud-based testing environments Preferred Skills : Snowflake data or app developer Experience with API testing tools like Postman or SOAP UI. Knowledge of security testing and tools like OWASP ZAP or Burp Suite. Expertise in database testing using SQL Soft Skills : Strong analytical and problem-solving skills. Excellent communication and interpersonal skills to collaborate with cross-functional teams and stakeholders. Leadership abilities to motivate and guide the QA teams toward achieving quality goals.

The purpose of this role is to assist the team in their day to day duties and coordination of campaigns and initiatives Key responsibilities: Proactive support role for team: most specifically executive and manager Responds to simple client requests e.g. planning data Uses Cascading Style Sheets and other research tools to pull data and insights as requested by the team. Provides supporting work for planning processes Collates data for competitor reports, media industry trends, live research

We are looking for a detail-oriented and data-driven Web Analytics & Reporting Specialist to join our digital analytics team. The ideal candidate will be responsible for tracking, analyzing, and reporting on user behavior across digital platforms to drive actionable insights. This role requires hands-on experience with web analytics tools and strong reporting skills to support data-informed decision-making across marketing, product, and UX teams. Key Responsibilities: Implement, manage, and maintain web analytics tracking using tools such as Google Analytics, Adobe Analytics, or similar platforms. Develop and automate dashboards and reports that highlight key performance indicators (KPIs), trends, and user behavior insights. Collaborate with stakeholders to define analytics requirements and deliver timely, accurate reporting. Monitor website performance metrics, user engagement, traffic sources, and conversion funnels. Translate complex data into clear, actionable insights and present findings to both technical and non-technical audiences. Work with developers to validate data collection implementations using tools like Google Tag Manager or other tag management systems. Continuously optimize tracking setups to ensure data accuracy and completeness. Conduct A/B tests and performance analyses to inform marketing and UX strategies. Required Skills & Experience: 3-5+ years of experience in web analytics and reporting. Hands-on expertise with tools such as Google Analytics (GA4), Adobe Analytics, Google Tag Manager, and Data Studio/Tableau/Power BI. Proficient in SQL and/or other query languages for data extraction and manipulation. Strong knowledge of website tagging, cookies, and user tracking methodologies. Excellent data visualization and reporting skills with the ability to synthesize data into insights. Familiarity with marketing platforms (Google Ads, Meta Ads, etc.) is a plus. Nice to Have: Experience with customer journey mapping and attribution modeling. Background in digital marketing or e-commerce analytics. Familiarity with JavaScript or debugging tools for tag validation (e.g., Chrome DevTools)

Responsibilities : Design and develop LLM-powered applications using Python and Azure OpenAI services. Build end-to-end Retrieval-Augmented Generation (RAG) pipelines , integrating vector databases, semantic search and other related tools. Develop conversational agents and virtual assistants , using frameworks like LangChain or LlamaIndex. Craft effective prompts using advanced prompt engineering and prompt design techniques . Integrate LLMs with external tools, APIs, and business data systems. Apply Agentic AI patterns to RAG and AI Workflows, interacting with LLMs by orchestrating various agents together Deploy and manage applications using Azure Functions , Azure AI services , and serverless components . Ensure performance, scalability, and reliability of AI solutions on Azure. Collaborate across teams and participate in agile development processes. Required Skills (Must Have): Strong proficiency in Python programming language. Expertise in Azure OpenAI Service , including foundation model usage and integration. Build and deploy AI solutions leveraging Azure AI services (e.g., Cognitive Services, Azure ML, Azure AI Search). Deep experience in prompt engineering , including various prompting strategies (few-shot, chain-of-thought, etc.). Hands-on experience building RAG pipelines with vector databases and tool integrations. Proven experience developing chatbots or virtual assistants using LLMs. Proficiency in at least one LLM application framework (e.g., LangChain , LlamaIndex ). In-depth understanding of LLM models , their capabilities, and applications. Good understanding of LLM evaluations , and how to evaluate LLM model outputs. Good understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs Experience deploying with Azure Function Apps and broader Azure ecosystem . Solid grasp of API integrations and data workflow design . Strong problem-solving skills and ability to deliver scalable, efficient code. Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): Familiarity with Multi- Agent AI orchestration and agentic workflows . Experience building cloud-native services with serverless architectures . Understanding of NLP techniques and data transformation pipelines . Familiarity with LLMOps concepts and AI model lifecycle. Qualifications : Bachelor s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms.

Key responsibilities : Develops and authors overall team strategy and approach to Display Ensures best practice, consistency and innovation in all Programmatic activities; ensures knowledge-sharing across teams Liaises with other channel leaders to standardise work output and engages in cross-channel strategic planning Ensures the annual budget is met, working alongside the Senior Management Team Ensures profitability of team through effective resource planning Grows and develops product offering to keep it leading edge Develops key media owner and senior client relationships to enhance our offering