Data Product and Platform Development Senior Manager

Data Product and Platform Development Senior ManagerCompany:Boeing India Private LimitedThe Boeing Company is currently seeking a Data Product and Platform Development Senior Manager to join the team in Bangalore, IN. Boeing is advancing its data-driven transformation by building scalable data pipelines, innovative data products, and robust platforms that empower business insights and operational excellence. In this role, you will develop strategy and maintain data products across various on-premises and cloud platforms with a cloud-agnostic approach. You will collaborate closely with executives and senior leaders from Architecture, Information Technology (IT) cross-divisions, Business, Data Science, Product Management, Cloud teams, and Data Engineers to drive the development and delivery of end-to-end data solutions that support Boeing’s digital transformation and business objectives. The Senior Manager will lead teams responsible for the development and deployment of data pipelines, data product lifecycle management, and platform capabilities that support Data and AI initiatives, while effectively communicating progress and strategic priorities to executive stakeholders.Position Responsibilities:Set the vision and roadmap for data platforms and products, aligning with business and digital strategies, and manage their full lifecycle from inception to value realizationDevelop data products delivering insights across functions such as supply chain, pricing, quality, Materiel Release Order (MRO), finance, and engineering, driving adoption across the digital organizationPartner with architecture, insights, data product leaders, and cross-division stakeholders to translate business needs into scalable, secure technical requirements for the data platformMaintain and enhance existing data products across on-premises, Amazon Web Services (AWS), Azure, and Google Cloud environments, ensuring reliability and performance with a cloud-agnostic approachEstablish and enforce best practices for data governance, quality, and compliance standards across all data initiativesEngage with executives and stakeholders to communicate progress, align on strategic priorities, and ensure transparency of data initiativesLead and manage a global team of data experts, developers, product managers, and delivery managers, fostering collaboration and high performanceDefine and track key performance indicators (KPIs) to measure product value, support performance, and participate in technical deep dives to recommend optimal data architectures and reference modelsEstablish clear Specific, Measurable, Achievable, Realistic, Time-bound (SMART) goals and KPIs to measure project success, product value, and operational performance, ensuring alignment with business objectives and driving continuous improvementBasic Qualifications (Required Skills/Experience):Bachelor’s degree is required as basic qualification8+ years of experience in data engineering, data platform development, or related roles4+ years of experience leading teams responsible for building data pipelines and data products4+ years of experience with hands-on designing and delivering data products using reusable, platform-agnostic ETL/ELT frameworks and implementing modern data technologies such as data fabric, data virtualization, data mesh, and ontology/knowledge graph4+ years of hands-on experience with cloud platforms such as AWS (preferred), Azure, or GCP, including cloud-native data services4+ years of experience in programming languages such as Python, Java, or Scala, and SQL for data processing4+ years of experience in incorporating data governance, security, and compliance frameworksExperience working in agile, cross-functional teams and collaborating with architecture and product leadershipExperience supporting existing data platforms using ITIL or similar IT service management frameworksExperience with processing and effectively managing petabytes of data from on-premises and cloud data stores such as Teradata, Exadata, Redshift, Databricks, and SnowflakePreferred Qualifications (Desired Skills/Experience):Master’s degree or higher in Computer Science, Engineering, or related field4+ years of experience building data products and platform capabilities in hybrid (on-premises and multi-cloud) environments leveraging Data Mesh and reusable ETL frameworks4+ years of experience building data pipelines including SAP ECC, SAP S4, MES, Engineering systems, Cloud, and unstructured dataExperience with machine learning lifecycle and MLOpsExperience with big data technologies, handling large volumes of unstructured and streaming data, ontology/knowledge graph, and contract data to support GENAI RAG architectureExperience building self-service data platforms or data marketplacesExperience in building and leading strong teams across different geographical regionsTypical Education & Experience:Education/experience typically acquired through a bachelor’s and typically 17+ years' related work experience or an equivalent combination of technical education and experience (e.g. master’s + 16 years' related work experience).Relocation:This position offers relocation within IndiaLanguage Requirements:Not ApplicableEducation:Not ApplicableRelocation:This position offers relocation based on candidate eligibility.Security Clearance:This position does not require a Security Clearance.Visa Sponsorship:Employer will not sponsor applicants for employment visa status.Contingent Upon Award ProgramThis position is not contingent upon program awardShift:Not a Shift Worker (India)