Client Profile Our Client is a Global Leader Revenues in excess of 14 Billion USD HQ in US and UK Role & responsibilities Strategic Vision & Portfolio Management: Develop and implement a clear vision for the PMO that aligns with the company's strategic HR and people goals. You will establish and manage a comprehensive portfolio management framework to track and prioritize all HR programs and projects. The role also involves overseeing and aligning multiple programs and projects with business vision and priorities. Governance & Standardization : Design, implement, and maintain a strong governance model to ensure the success of HR projects and people transformation programs. This includes setting up and embedding frameworks, policies, and reporting mechanisms to drive consistency. You will standardize project management practices by overseeing a library of templates, tools, and methodologies. Performance Tracking & Reporting : Establish key performance indicators (KPIs) and a robust performance tracking system. You will provide clear, concise, and regular reports to senior leadership and the Executive Committee (Exco) on the status, health, and progress of the entire HR project portfolio. The role also requires defining KPIs, tracking benefits, and ensuring delivery against outcomes. Communication & Influence: Serve as a key advisor to the HR operations and transformation leadership team, providing strategic insights on people and culture initiatives. You must be able to articulate complex ideas with global stakeholders and influence decision-making at the highest level. This includes influencing and managing relationships with senior leaders, sponsors, and cross-functional teams. Leadership & Team Development: Lead, mentor, and inspire a team of project managers and program managers. You will provide subject matter expertise, mentorship, and professional development support to team members. This role is responsible for leading, coaching, and maturing the PMO function and building capability across the team. Risk & Issue Management: Proactively identify, assess, and mitigate project risks to ensure successful delivery. This includes proactive identification, mitigation, and escalation across the portfolio. Financial & Resource Management: Oversee budgets, resourcing, and ensure the efficient use of investment. Change & Transformation: The role requires a strong change and transformation mindset to support large-scale transformations and ensure the PMO adds value beyond simple reporting. Leadership & Team Developmen t: Lead, mentor, and inspire a team of project managers and program managers. You will provide subject matter expertise, mentorship, and professional development support to team members. This role is responsible for leading, coaching, and maturing the PMO function and building capability across the team. Risk & Issue Management: Proactively identify, assess, and mitigate project risks to ensure successful delivery. This includes proactive identification, mitigation, and escalation across the portfolio. Financial & Resource Management: Oversee budgets, resourcing, and ensure the efficient use of investment. Change & Transformation: The role requires a strong change and transformation mindset to support large-scale transformations and ensure the PMO adds value beyond simple reporting. Preferred candidate profile Proven experience leading a large-scale PMO within a Human Resources or corporate function, with a focus on people transformation, change management, or HR technology. Demonstrable depth of experience as a PMO Lead in a large global business, ideally in a matrix or federated environment. Exceptional ability to create and manage a holistic view of an organization's HR and people priorities. Deep expertise in governance with a track record of implementing effective structures and processes. Strong strategic and analytical skills with the ability to define a clear vision and thought process. Outstanding communication and presentation skills, with the ability to influence and engage with stakeholders at all levels, including the Executive Committee. Extensive experience with portfolio management, performance tracking, and developing standardized project methodologies and templates. Proficiency in project management methodologies and tools (e.g., PMP, Prince2). A PMP, PgMP, or equivalent certification is highly desirable.
Our Client is a Global Leader and this is for the Capability centre in Hyderabad We need someone Hands on Manage a growing team of 10-20 highly qualified data Scientists, quality, Engineers Work with Leadership stakeholders from Business- Marketing, Product, Risk - across Europe & US Impeccable Communication Skills It would be an added advantage if you have experience in the US or EU Role & responsibilities Lead and inspire a cross-functional Data Science Squad, ensuring high-quality delivery of end-to-end solutions across product, marketing, and operations domains. Set the long-term strategic vision for the Data Science squad, aligning with broader business goals Display entrepreneurial traits by partnering with stakeholders to identify new AI/ML opportunities across the businesses, build the project pipeline, define business problems, and design data science solutions Manage full model lifecyclefrom data exploration and feature engineering to model training, validation, deployment, and performance monitoring. Role-model cross-functional leadership, partnering closely with Product, Tech, and Business counterparts Represent the Data Science squad in executive forums, contributing to center-wide governance, prioritization, and stakeholder engagement. Establish a culture of storytelling, impact, and continuous improvement across the team Preferred candidate profile 10+ years of experience in the data space, including hands-on exposure to data science, model development, and stakeholder delivery. Demonstrated experience working on B2C-focused models such as customer segmentation, recommender systems, marketing attribution, churn prediction, or personalization. Deep understanding of ML techniques, their practical applications, and limitations. Strong experience with modern data science languages and tools, including: Languages: Python (preferred), SQL Libraries/Frameworks: scikit-learn, XGBoost, LightGBM, pandas, NumPy, PySpark Statistical foundation: Weights & Biases, A/B testing frameworks Platforms: Databricks, AWS (S3, SageMaker), GCP (BigQuery, Vertex AI) Visualization: Tableau, PowerBI Understanding of data engineering principles and experience working with large-scale structured and unstructured data is preferred. Proven ability to engage and influence stakeholders through effective storytelling and excellent communication skills. Experience in driving alignment and delivering impact in matrixed or global organizations. Exposure to product-led or consumer technology companies is strongly preferred. Deep understanding of ML Techniques, their practical applications, and limitations"
Role & responsibilities OVERVIEW OF THE ROLE We are looking for a Senior Engineering Manager to join the Data and Platforms team Working for the Director of Data youll be leading Data Platform Enablement . In addition to running the engineering squad the roles will be responsible for ensuring that data engineering is represented in the Product Development Lifecycle and enabling software product teams to operate on the platform adhering to standards, policies and patterns to be defined. In this role, you will be responsible for hiring, performance appraisal, and rewarding your team, focusing on helping them define their career paths and achieve their short and long-term goals. Using lean and agile methodologies, you will oversee the pace, scale, and performance of your teams delivery in a multi-team, multi-location environment. This role follows a hybrid approach to working, allowing you to combine working from home with working in our modern offices. These discussions are between you and your manager to find the best pattern for you both! We will kit you out to work from home but know that working as a team is what makes us great and spending quality time together is essential for keeping us mission aligned. If you are a passionate leader of people with a data engineering background, you have the chance to be part of a team that looks to build out our next-generation data platform, leveraging new technologies and techniques to maximize the business value out of our data assets and empower innovation. KEY RESPONSIBILITES Leadership & People: Ability to influence senior stakeholders . Ability to manage other engineering managers. Nature a culture of high-quality, results-oriented delivery with accountability. Ensure all team members have a clear understanding of priorities and expectations by facilitating regular communication and alignment, and by holding planning sessions at the right time and regular retrospectives to maintain focus and efficiency. Coach team members through regular 1:1s, set and review objectives, appraise performance, and assist with career development, ensuring effective performance management. Proactively identify and lead on initiatives to improve the experience of being an engineer in GTT; whether that is to do with productivity, diversity and inclusion, technical competence or other areas. To allow the tribe to grow, work with Talent Teams and other leaders to recruit the best people for your squad. Data Engineering: Lead the design and implementation of scalable and reliable data infrastructure and pipelines that support business objectives, including greenfield projects. Ensure alignment with cloud-first, scalable technologies, leveraging Databricks, AWS, and other modern data platforms. Ensure data integrity, availability, and security through best practices in data engineering. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet these needs. Drive innovation in data processing, storage, and retrieval technologies to enhance data accessibility and usability. Implement and maintain data solutions in greenfield environments, bringing fresh ideas and approaches to new projects. Write, oversee and coordinate with team members and subject experts to ensure the maintenance of accurate and effective documentation. Delivery: Bring value to stakeholders by working closely with Product and Delivery to determine the best strategy to deliver the roadmap. Balance the commercial needs of the business against the ideal technical design, proposing strategic and pragmatic implementations with clear delivery plans, including accurate and realistic estimation of time, to ensure successful execution. Regularly communicate the status of delivery to stakeholders, clearly highlighting any risks and potential impacts, and proactively develop mitigation strategies to ensure successful outcomes. Ensure quality is a first-class citizen in the engineering process and work closely with the QA capability within the squad and wider team to meet the quality demands of the business. Measure and review delivery velocity, quality, lead and cycle-times regularly, and promptly address any issues that arise. Support changes in the business, including adjustments to roadmap priorities and squad configurations, ensuring seamless transitions and continued alignment with overall business objectives. Proactively conduct research on emerging technologies and help introduce these where appropriate. Ownership: Take responsibility for the solution and remove obstacles for the team. Work with your squad to develop and implement real-time monitoring, good alert design and first-rate logging strategies to easily check health and availability of services. Where required ensure 24/7 operational support of our Data products. Work closely with the other GTT squads to ensure alignment of roadmaps through understanding of dependencies. Preferred candidate profile Engineer with atleast 10 years experience Ensure alignment with cloud-first, scalable technologies, leveraging Databricks, AWS, and other modern data platforms. Experience with cloud-based data technologies, particularly AWS, Databricks. Experience with streaming platforms such as Kafka, Apache Pulsar. Experience with a combination of Python, Scala, Spark and Java. Extensive experience in data engineering, with a proven track record of leading and managing multi-disciplinary teams delivering complex data projects, including greenfield projects. Ability to influence and drive change across the department, advocating for necessary improvements and investments. Can lead technical discussions, inspire the team, and drive towards technical excellence, ensuring high-quality outcomes. Understanding of data governance, privacy, and compliance regulations (e.g., GDPR). Exceptional communication and stakeholder management skills to engage, negotiate, and collaborate effectively throughout the product lifecycle, ensuring successful outcomes. Experience leading people and supporting their career development plans. Demonstrated expertise in fostering and advancing a collaborative team culture. Strong analytical and diagnostic skills, particularly concerning technical risks, issues, and constraints. Senior principles, leading by example, showing work ethic and passionate professional attitude.