Conduct Market Research in ADA Digital Analytics' Industry Interest Verticals Build a Database of Relevant Contacts in line with Customer Personas of Interest Outreach Mailer Campaigns to elicit interest in ADA's services. Cold call to set up meetings for Sales Teams.

Collaborate with the frontend development team to design andimplement RESTful APIs for web and mobile applications Develop and maintain event-driven systems using GoLang andother related technologies Implement security measures such as authentication andauthorization mechanisms to protect backend systems and APIs Optimize the performance of backend systems throughprofiling, load testing, and tuning Implement message queues and asynchronous processing usingtools such as RabbitMQ or Kafka Implement caching mechanisms to improve performance andreduce database load Collaborate with DevOps teams to automate the deployment,monitoring, and scaling of backend systems and microservices Develop and maintain documentation for backend systems andAPIs Stay up-to-date with emerging technologies and bestpractices in GoLang development and related areas such as containerization,serverless computing, and machine learning. Provide mentorship and guidance to junior developers in theteam. Implement secure coding practices and perform code reviewsto identify and address potential security vulnerabilities Work closely with security teams to identify and mitigatesecurity risks in the backend systems and APIs Implement encryption and hashing mechanisms to protectsensitive data in transit and at rest Ensure that backend systems and APIs comply with relevantsecurity standards and regulations PCI-DSS Develop and maintain threat models and risk assessments forbackend systems and APIs Implement rate limiting and throttling mechanisms to preventdenial-of-service attacks and brute-force attacks Conduct regular security testing such as penetration testingand vulnerability scanning to identify and remediate security issues Monitor and analyse system logs and audit trails to detectand respond to security incidents in a timely manner. Develop and maintain disaster recovery and businesscontinuity plans for backend systems and APIs in case of security incidents ordisasters Provide security training and awareness to other teammembers to improve the overall security posture of the organization. Requirements: 6+ years of experience in GoLang development Strong understanding of software design principles andarchitecture patterns Experience with distributed systems and microservicesarchitecture Proficiency in writing unit and integration tests for Gocode Experience with Git and other version control systems Strong problem-solving and analytical skills Excellent communication and collaboration abilities

We areseeking a Lead Machine Learning Engineer to drive the development anddeployment of cutting-edge ML systems. You will lead a team of ML engineers,collaborate with cross-functional teams, and ensure the scalability,efficiency, and reliability of our ML solutions. This role requires strongtechnical expertise, leadership, and a deep understanding of ML systems inproduction. KeyResponsibilities: End-to-End ML Development Design, build, and deploy scalable ML models for real-world applications. Team Leadership Guide and mentor a team of ML engineers and data scientists. Model Optimization & MLOps Implement model monitoring, retraining, and CI/CD pipelines for ML models. Big Data & Cloud Integration Work with large-scale data pipelines, distributed computing, and cloud services (AWS/GCP/Azure). Cross-Functional Collaboration Work closely with data engineers, product teams, and software developers. Algorithm Innovation Research and implement state-of-the-art ML and deep learning techniques. Performance & Scalability Ensure ML models are efficient and optimized for deployment in production environments. Requirements: Education: Bachelor's or masters in computer science, AI, Data Science, or a related field. ML Expertise: Strong background in Supervised, Unsupervised, and Deep Learning techniques. Tech Stack: Python, TensorFlow, PyTorch, Scikit-learn, Spark, Kubernetes, Docker. Data & Infrastructure: Experience with Big Data (Hadoop, Snowflake), Cloud ML tools (SageMaker, Vertex AI). MLOps & CI/CD: Hands-on with ML lifecycle management, monitoring, and automation. APIs & Deployment: Experience in deploying ML models via REST APIs and microservices.

Following substantial growth in the lastcouple of years, ADA is growing in the Data, AI and Technology space to allowus to offer personalized end to end customer engagement solution for businessmessaging. This is an excitingopportunity for someone to be a part of global team working across variousclients in Data and AI space in almost all industry verticals. THE ROLE Are you a talented and experienced Fullstack Python Developer looking for an exciting opportunity? We are seeking askilled Full stack Python Developer to join our team and contribute to thedevelopment our existing Business Messaging Platform. As a Full stack PythonDeveloper, you will work on both the server-side and client-side of ourprojects, utilizing your expertise in Python, AI/ML models and relatedtechnologies. KEY DUTIES Develop and maintain scalable and efficient applications using Python. Collaborate with designers and front-end developers to createseamless user experiences. Write clean, modular, and well-documented code following bestpractices. Conduct thorough testing and debugging to identify and fix issues. Optimize application performance and ensure high levels ofsecurity and reliability. Collaborate with cross-functional teams to define projectrequirements and deliverables. Collaborate with cross-functional teams to design and developend-to-end full-stack solutions for business messaging products. Architect, build, and customize front-end and back-endapplications using Python that integrate NLP, NLU capabilities with GenerativeAI models, and Langchain technology. Collaborate with solution engineers to ensure seamless integrationof messaging solutions and advanced AI capabilities. Work on user interface design, ensuring an intuitive andresponsive user experience for both clients and end-users. Develop APIs and implement data interchange protocols, allowingfor robust data processing and communication, with a particular focus on Python. Leverage Generative AI for advanced data analysis, insights, andenhancing messaging capabilities. Troubleshoot and resolve technical issues, collaborating with thesupport team and utilizing Generative AI-driven insights for efficientsolutions. Stay updated on emerging technologies and trends in businessmessaging and Generative AI to contribute to innovative feature development. Document code, best practices, and architectural decisions, withan emphasis on Python development. Provide technical guidance and support to junior developers asneeded. EXPERIENCE NEEDED The successful candidate will be an inspiring andconfident team player with the following profile: Bachelor's or Master's degree in Computer Science, Engineering, ora related field. Minimum of 6 years of professional experience as a PythonDeveloper Design, develop, and implement machine learning and artificialintelligence solutions. Strong understanding of building and deploying machine learningmodels Experience in ML and DL Python libraries (scikit-learn,Tensorflow, pytorch etc.,) and frameworks for efficient code development Implement state-of-the-art LLM's to build applications. Training,Finetuning of LLM's Knowledge of vector databases, Langchain is an added advantage Build and maintain APIs to enable seamless integration of ML/AImodels into various applications. Knowledge of Docker for containerization is an added advantage Good to have knowledge of JavaScript and proficiency in bothfront-end and back-end development. Good to have Expertise in Generative AI models, and Frameworks like Autogen, RAG, NLP, and NLU technologies. Familiarity with Langchain technology for secure and efficient language processing. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) for scalable application deployment. Database management and SQL skills for data storage and retrieval. Security best practices in the context of Generative AI, Langchain, and messaging solutions. Proficiency in version control systems (e.g., Git) and CI/CD pipelines. Strong problem-solving and troubleshooting skills, especially with the aid of Generative AI insights. Knowledge of version control systems, such as Git. Understanding of agile development methodologies and tools. Strong communication and collaboration abilities. If you are a passionate Full stack Python Developer looking to work on exciting projects and contribute to the success of a dynamic company, we would love to hear from you! Join our team and be part of a collaborative and innovative environment that values creativity, continuous learning, and professional development. PERSONALITY TRAITS Beyond these specific experiences and qualifications, the successful candidate will also demonstrate the following. Customer Focus:Provides satisfaction for both internal and external customers and creates partner relationships. Growth mindset:Excitement for innovation, trials and a positive attitude towards solving real world challenges and above all A QUICK LEARNER. Communication (written & oral):Must have strong interpersonal skills and the ability to establish, develop and maintain business relationships in addition to excellent presentation and negotiation skills. Resourceful: The ability to find solutions and deliver results within a rapid changing, entrepreneurial, technology-driven culture. Organized:Able to work independently, effective time management skills with the ability to manage digital transformation projects; Must be able to prioritize daily, weekly and monthly tasks and possess a “sense of urgency” to ensure deadlines are met. Team Player: Demonstrates a strong ability to support department staff members, managers and establish collaborative relationships with peers.

Minimum 6 years in Pre Sales, Consulting, CDP, Data & AI, Marketing About ADA ADA is a leading data and artificial intelligence (AI) company that designs and executes integrated digital, analytics, and marketing solutions. We operate in 12 markets in South and Southeast Asia and partner with leading brands to drive their data and digital maturity. Job Overview A Consultant with presales responsibilities plays a crucial role in bridging technical expertise with sales strategies to deliver data-driven solutions to clients. This position typically involves designing, developing, and maintaining CDP s olutions while also engaging with potential clients to understand their needs and articulate how CDP solutions can meet those needs. Role Overview: We are seeking a pre sales c onsultant to join our growing Customer Data Platform (CDP) Practice team . ADA helps the client to unlock the value of customer data from implementing CDP, design & execution of use cases for their business growth. Key Responsibilities: CDP Proposal & Presentation: Gathering client requirements for RFP and design and proposearchitecture and use cases for CDP best suited to the client’s requirements. Cost Estimation: Estimate the cost of implementation as per described in proposal. Client Engagement: Collaborate with sales teams to identify client requirements, providing technical insights that align with business objectives. Solution Presentation: Develop and present compelling data solutions, including Proof of Concepts (POCs), to demonstrate value to potential clients. Technical Support: Provide technical expertise during the sales process, including responding to RFPs and preparing proposals that address client specifications. Technical demo of solutions: Demo the solutions to meet the client’s requirements. Stakeholder Management: Build and maintain relationships with internal teams and external clients, ensuring effective communication of technical concepts to non-technical stakeholders. Market and Client Awareness: Stay updated on the latest technologies in data analytics, AI, and machine learning to provide informed recommendations and strategies, along with potential clients know how and promote cross-sell and up-sell in accounts Qualifications: Demonstrated experience in leading enterprise-level marketing/data projects, particularly in the design and deployment of customer data solutions. Strong expertise in CRM systems, data warehousing, and marketing automation tools, with a solid understanding of AI and machine learning applications in business & marketing. Proficiency in data analysis, modelling, and governance, with the ability to distil complex data into clear and actionable insights. Experience in deriving insights with developing actionable marketing strategies based on customer data Proven ability to work independently and in collaborative environments, partnering effectively with cross-functional teams across data engineering, marketing, and creative disciplines. Exceptional communication skills, adept at presenting complex technical concepts to business leaders and translating business requirements to technical teams. Strong interpersonal skills, with a track record of building and maintaining trusted client relationships. Experience in developing and delivering high-impact business presentations to C-suite executives and decision-makers. Preferred Qualifications: Experience with leading CDPs such as Treasure Data, Adobe, Segment, Tealium, and Salesforce. Experience with CRM/Marketing automation platforms like Brevo, HubSpot, Clevertap, Insider, and Braze. Experience with Google Tag Manager (GTM), Google Analytics 4 (GA4), Amplitude, and Mixpanel. Experience with data visualization tools like Looker Studio, Power BI, or Tableau. Experience with SEM, SEO, and Social Media Marketing Experience with Python, JavaScript, SQL, and other relevant programming languages.

In this role, You will work with the product and business counterparts to create business impact by creating world class Data Accelerators product. You will lead teams focused on delivering world class products and platforms that help in rapidly deploying solutions for data engineering problems. Responsibilities Technical Guidance Influence: You will lead a cross-functional team of Architects, Managers, Technical Leads Software Development Engineers (SDEs). As a leader, you will play a crucial role in building the culture, motivating the team and bringing the best practices across all of these functional areas to build the best products, make complex design decisions and the hands-on ability to lead by example. Set the long-term tech vision for the products tech with impact across divisions. Involve in creation of strategy, translate it into sub-unit objectives and guide the team in planning implementation. Play a key role in driving change in important areas. Define, evangelize and help institutionalize best practices and processes across product areas, divisions organization. Actively interface with the others in the industry to identify and drive operational excellence standards at Ada. Deeply understand the overall company business, factors affecting it (legal, financial, compliance), evolve tech landscape and consistently demonstrate good judgement on areas of investment and influence management decisions and processes. Business Smarts Strategic Thinking: Solid understanding of business PL, industry constraints and opportunities to get competitive advantage using technology. Provide thought leadership to shape priorities through deep knowledge of internal and external factors. Create avenues for innovation, long-term systemic thinking and ecosystem impact in the department across all units. Influence and lead change across his / her unit and department. Create and communicate business vision and the tech roadmap for the division to the team and articulate business and tech plan, choices, constraints to Business, Product Engg stakeholders counterparts. Propose strategic investments and drive new initiatives that have substantial business/PL impact. Identify and solve for gaps in tech capabilities of the company. e.g. formulation of new teams/divisions, build/buy choices. Identify new investment areas and set up relevant teams by defining a vision and a business case for it. Agility, Focussed Execution and Delivery: Deliver consistently on high business impact areas and support the sub-unit by building execution rigor to deliver impact. Accountable for the business success, architecture, design, execution, delivery, quality, scalability and limitations of the systems and products in scope. You will be expected to instill and follow good software development practices and ensure timely delivery of high-quality products. You should be familiar with agile practices as well as be able to adapt these to the needs of the business, with a constant focus on product quality. Set stretch targets and hold self and team accountable for high-quality impactful outcomes while driving the team to evaluate and improve existing systems and processes. Review progress of work and proactively plans for upcoming risks. People Management, Org Building Leadership: Align teams, anticipate and build a long-term strategy and set high-performance standards. Build effective, motivated and empowered teams and attract top talent. Anticipate and resolve potential conflicts through an adaptive leadership style. Develop senior leaders for the future and be a great coach for the team. Demonstrate experience in hiring, retaining and scaling diverse, geographically dispersed, high-performing teams. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses. Hire and coach other leaders. Actively scout the talent market to identify, make selling/hiring pitches to key candidates and attract top talent to Ada. Articulate Adas tech choices, product and vision in internal and external forums. Institutionalize best practices that reinforce Adas culture in the company. Stakeholder Management Collaboration: Demonstrate and build a collaborative culture within and across units. Nurture cross-organization relationships and build relevant external networks. Influence large groups across the organization to align on appropriate trade-offs and achieve desired outcomes Understand emerging market opportunities and their business impact. Collaborate closely with cross-functional leaders to ensure that the products we build will delight our customers; this includes working closely with product managers, designers, engineering leaders, and stakeholders in other business departments. Authoritatively represent business and tech context in stakeholder meetings and work with business product to identify potential business problems to solve with tech. Work effectively across divisions and departments, negotiate conflicts with tact and arrive at decisions. Identify gaps patterns in business processes product areas in the division and propose tech solutions/design to solve for them. Desired Skills and Requirements Strong understanding of both frontend and backend technologies, data engineering and data pipelining, open-source development, object-oriented programming, concurrency and fundamentals of computer science. Experience with design architectures implementing highly distributed, hybrid cloud deployments, and on-premise-to-cloud migration deployments. Good understanding of large-scale computing solutions, infrastructure, security, and application development. Proven ability to adapt, champion and institute good practices and tools. Knowledge of multiple technology stacks/languages/tools and their pros/cons. Experience developing distributed horizontally scalable robust products platforms in an iterative agile manner with high quality. Proven ability to architect build products from scratch. Ability to push through despite road-blocks and resource constraints. Experience working collaboratively with Product, Business and Go-to-Market teams, guiding data-influenced product and business planning, prioritization and strategy development. 10+ years of relevant experience with a minimum of 6 years managing high performance teams of engineers including managerial leads. Possess strong interpersonal skills the ability to build mentor. BTech/MTech degree in Computer Science or related field Note - We also highly value experience working in a startup or smaller product-focused organization, contributions to open-source, tech blogs and tech forums. We are also open to people who may not fit our precise expectations of the role. If you have the passion and ability to build great products, we can craft the right role for you.

Adas product management team builds technology and AI products thatempower our enterprise customers to transform their business. This role willrequire the product leader to work with business teams and brands to be able tosolve effectively through innovative tech solutions for brands marketing needs.You will have the opportunity to be part of a rapidly growing organization andgain exposure to all the parts of a comprehensive ecommerce platform. Key Responsibilities Market & Customer Understanding: Understand the landscape and needs of enterprises & Organizations on Ada platform through brand interviews, user research, competition analysis and other quantitative/qualitative techniques. Product Vision & Strategy: Define a compelling product vision & strategy for Ada products, and influence other functional leaders/teams to achieve outcomes Problem Identification & Prioritization: Adopt a structured approach to identify what problems need to be solved and break them down into smaller chunks. Prioritize what problems need to be solved now vs. later. Product Roadmap & Delivery: Be able to define a clear product roadmap with detailed product requirements and work collaboratively with a cross-functional team (design, engg. business, analytics, etc.) to bring a product to life. Go-to-Market Planning: Collaborate on go-to-market plan working with stakeholders to maximize product adoption and success. Adoption & Metrics: Define product metrics for Ada suite of products and track them continuously. Identify usage patterns and come up with action plans to move metrics in the right direction. Lead a team product managers and Designers. Experience 15+ years of product management experience, with at least 6 years in B2B or related domains. Demonstrated success in leading multiple product teams and managing complex product portfolios. Proven track record of building and scaling AI platforms and having done that on an ecommerce/Conversational AI is a plus. Skills Strong data-driven decision-making skills. Exceptional communication and stakeholder management skills, with the ability to align diverse teams on a common vision. Exceptional problem solving skills based on first principles thinking. Good understanding of technology, and comfort with product management processes such as A/B experimentation, writing product requirement documents, managing product backlogs, and creating roadmaps Hands-on experience working with brands/business/marketing teams. Education MBA or equivalent experience in Product Management.

Minimum 6 years in Pre Sales, Consulting, CDP, Data & AI, Marketing Job Overview A Consultant with presales responsibilities plays a crucial role in bridging technical expertise with sales strategies to deliver data-driven solutions to clients. This position typically involves designing, developing, and maintaining CDP s olutions while also engaging with potential clients to understand their needs and articulate how CDP solutions can meet those needs. Role Overview: We are seeking a pre sales c onsultant to join our growing Customer Data Platform (CDP) Practice team . ADA helps the client to unlock the value of customer data from implementing CDP, design & execution of use cases for their business growth. CDP Proposal & Presentation: Gathering client requirements for RFP and design and proposearchitecture and use cases for CDP best suited to the client’s requirements. Cost Estimation: Estimate the cost of implementation as per described in proposal. Client Engagement: Collaborate with sales teams to identify client requirements, providing technical insights that align with business objectives. Solution Presentation: Develop and present compelling data solutions, including Proof of Concepts (POCs), to demonstrate value to potential clients. Technical Support: Provide technical expertise during the sales process, including responding to RFPs and preparing proposals that address client specifications. Technical demo of solutions: Demo the solutions to meet the client’s requirements. Stakeholder Management: Build and maintain relationships with internal teams and external clients, ensuring effective communication of technical concepts to non-technical stakeholders. Market and Client Awareness: Stay updated on the latest technologies in data analytics, AI, and machine learning to provide informed recommendations and strategies, along with potential clients know how and promote cross-sell and up-sell in accounts Qualifications: Demonstrated experience in leading enterprise-level marketing/data projects, particularly in the design and deployment of customer data solutions. Strong expertise in CRM systems, data warehousing, and marketing automation tools, with a solid understanding of AI and machine learning applications in business & marketing. Proficiency in data analysis, modelling, and governance, with the ability to distil complex data into clear and actionable insights. Experience in deriving insights with developing actionable marketing strategies based on customer data Proven ability to work independently and in collaborative environments, partnering effectively with cross-functional teams across data engineering, marketing, and creative disciplines. Exceptional communication skills, adept at presenting complex technical concepts to business leaders and translating business requirements to technical teams. Strong interpersonal skills, with a track record of building and maintaining trusted client relationships. Experience in developing and delivering high-impact business presentations to C-suite executives and decision-makers. Preferred Qualifications: Experience with leading CDPs such as Treasure Data, Adobe, Segment, Tealium, and Salesforce. Experience with CRM/Marketing automation platforms like Brevo, HubSpot, Clevertap, Insider, and Braze. Experience with Google Tag Manager (GTM), Google Analytics 4 (GA4), Amplitude, and Mixpanel. Experience with data visualization tools like Looker Studio, Power BI, or Tableau. Experience with SEM, SEO, and Social Media Marketing Experience with Python, JavaScript, SQL, and other relevant programming languages.

We are seeking a dynamic and enthusiastic Pre-Sales Associate to join our team. The ideal candidate will play a crucial role in driving our sales efforts by working closely with potential clients to understand their needs and demonstrate the value of our data and AI services. The Pre-Sales Associate will support the preparation of RFPs, project proposals, customized pitch decks, and dashboarding proposals while collaborating closely with the technical delivery team, sales team, and other stakeholders. This role requires a blend of technical knowledge, business acumen, and client-facing skills to effectively bridge the gap between client requirements and technical solutions. Key Responsibilities: Client Engagement: Collaborate with the sales team to prepare high-quality RFPs, RFIs, Pitch decks for potential clients. Conduct discovery meetings with Sales team to understand client needs, challenges, and objectives. Gather and analyse client requirements, ensuring a comprehensive understanding of their needs. Present and demonstrate the features and benefits of our data and AI solutions to prospective clients. Develop customized pitch decks that address specific client use cases. Participate in industry events, webinars, and conferences to showcase our solutions and network with potential clients. Solution Design: Work with Practice team to gather and design customized solutions that meet the clients specific needs. Liaise with the technical delivery team to ensure proposed solutions are feasible and aligned with organizational capabilities. Develop detailed proposals, including technical specifications and pricing. Conduct industry and market research to tailor solutions to major industry verticals such as Manufacturing, Healthcare, BFSI, E-Commerce, D2C & Retail. Technical Expertise: Maintain a deep understanding of our service offerings, including data analytics, machine learning, and AI technologies. Stay up to date with industry trends and advancements in data and AI. Assist in the creation of technical documentation, whitepapers, and case studies. Educational Requirements: Bachelors degree in computer science, Information Technology, Business, or a related field. MBA degree from top-tier institution is a plus. 1+ years of experience in a pre-sales, services sales, or similar role, preferably within the data and AI industry. Strong understanding of data analytics, machine learning, and AI technologies. Good understanding of tools and technologies. Experience in preparing and delivering project documentation (RFPs, proposals, etc.). Exposure to collaborative work environments involving multiple stakeholders. Basic experience with dashboarding or data visualization solutions. Excellent communication and presentation skills. Ability to build strong relationships with clients and internal teams. Problem-solving mindset with the ability to think creatively and strategically. Self-motivated and able to work independently as well as part of a team. Willingness to travel as needed to meet with clients and attend events.

The Sales Manager is responsible for driving revenue growth by leading the sales team in promoting and selling software development and data science services to clients. The ideal candidate will have a solid background in technology services sales, specifically within the data sciences domain. Key Responsibilities: Sales Strategy : Support development and implementation of the sales strategy in alignment with the ADAs objectives, focusing on ADAs services & solutions. Client Acquisition : Identify and target potential clients, including enterprises, and other potential stakeholders. Team Leadership : Lead, mentor, and manage the sales & lead generation teams to meet and exceed sales targets and KPIs. Domain Knowledge : Possess in-depth knowledge of the data science services and solutions offered by ADA, staying updated on industry trends and competitors. Client Relationship Management : Foster and maintain strong relationships with clients, ensuring satisfaction and addressing any issues or concerns promptly. Market Research : Conduct market research to identify new opportunities and emerging trends within the data sciences services and solutions industry. Sales Collateral : Develop and maintain sales collateral, including presentations, proposals, and case studies, to support the sales process. Sales Reporting : Generate regular sales reports, track progress against targets, and provide insights for improvements. Qualifications: Experience : 4-6 years of relevant sales experience in selling data science services & solutions across industry verticals including, but not limited to, Retail & eCommerce, Manufacturing, Healthcare, BFSI, etc. Experience within a similar data sciences company is a definite plus. Educational Background : A master's degree or relevant certifications in sales and marketing. Industry Knowledge : Deep understanding of data science services and solutions across industries of interest, including their applications and benefits. Sales Leadership : Proven track record of leading and managing a sales team, achieving and exceeding sales targets across North America and Europe. Client Relationships : Strong ability to build and maintain client relationships, including experience in enterprise-level client engagement. Analytical Skills : Proficiency in market analysis and data-driven decision-making. Communication Skills : Excellent verbal and written communication skills, with the ability to present technical information in a clear and persuasive manner. Team Player : Collaborative, able to work effectively with cross-functional teams to meet business objectives. Adaptability : Ability to thrive in a dynamic and fast-paced environment, adjusting strategies as needed to meet changing market conditions. Results-Oriented : Demonstrated ability to drive sales growth and achieve revenue targets. Company Culture Fit: Understanding and alignment with the company's values, mission, and vision, which should be in line with ADA's ethos.

We are seeking an experienced Program Manager to lead and oversee large-scale data engineering projects. The ideal candidate will possess a strong background in project management, data engineering principles, and cross-functional collaboration. They will be responsible for planning, coordinating, and delivering data engineering initiatives that meet business objectives within defined timelines and budgets. Qualifications: Bachelors or masters degree in computer science, Data Engineering, or a related field. 3+ years of experience in project or program management, with at least 2 years managing data engineering or data analytics projects. Proven track record of delivering large-scale data solutions (data warehouses, data lakes, streaming platforms, etc.). Strong understanding of cloud platforms (AWS, Azure, or GCP), data processing frameworks (Spark, Kafka), and modern database technologies (Snowflake, Redshift, Big Query). Proficient in project management tools (JIRA, Microsoft Project, Trello, etc.). Excellent communication and stakeholder management skills. Strong analytical and problem-solving skills. PMP, Agile, or Scrum certification. Roles and Responsibilities: Define the project scope, objectives, and deliverables in alignment with organizational goals. Develop detailed project plans, including timelines, milestones, and resource allocation. Manage program budgets, risks, and dependencies while ensuring the timely delivery of results. Monitor and report on project progress, providing clear updates to stakeholders and leadership. Collaborate with business leaders to gather and document project requirements. Act as the primary point of contact for stakeholders, ensuring their expectations are met or exceeded. Facilitate communication between technical teams, business users, and external vendors. Lead cross-functional teams of data engineers, analysts, architects, and DevOps professionals. Foster collaboration and remove roadblocks to enable teams to achieve project goals. Conduct regular team meetings, retrospectives, and performance reviews. Work closely with data engineering teams to ensure proper architecture, tools, and technologies are used. Implement best practices for project governance and quality assurance. Define KPIs and success metrics to evaluate program outcomes