5 Data Taxonomy Jobs

Be the accountable leader for AI and data governance in LRCO operationalizing Responsible AI, risk, and data management controls while partnering with Data Owners to shape and execute the LRCO data strategy. You are passionate about turning governance into an accelerator not a blocker. You'll lead the frameworks, processes, and data foundations that let teams ship compliant, explainable AI and analytics at scale. Join us to set the standard for safe innovation in Legal & Regulatory Control Operations, from intake to production, across ML, NLP, retrieval, GenAI and automation. Job summary As the AI & Data Governance Lead for Legal & Regulatory Control Operations (LRCO) , you will own the operating model that keeps our AI/ML and data-driven capabilities compliant, measurable, and scalable. You'll run end?to?end governance (intake, risk assessment, approvals, monitoring, audit readiness) and co?own the LRCO data strategy with our Data Owners and partners covering data architecture, lineage, taxonomy, quality, and consumption patterns. You'll partner across Product, Engineering/ML, Legal, DUC, MRGR, and Data Owners to embed controls (privacy, explainability, fairness, security, HITL) and to align with firmwide standards so we can deliver measurable customer value without compromising safety or compliance. Job responsibilities Leverage strong communication skills to lead project teams through challenges and work with key stakeholders (higher, peer, lower in the organizational structure) via influencing and negotiating. Own the AI governance strategy for LRCO and embed it into the product roadmap aligning to firmwide and CCB procedures (registration, approvals, monitoring, documentation). Run the AI/ML governance tollgates (registration, governance forums, etc.) and ensure change?management reviews where applicable. Present on model risk governance: For determination of Model vs Analytical Tool designation, track submissions/waivers, secure approvals, and set ongoing monitoring and documentation standards. Operationalize Responsible AI controls with Legal/CCOR (HITL, fairness/bias, explainability, privacy, security) and maintain compliance with prohibited AI checks and EU AI Act classifications. Co?own LRCO's data strategy with Data Owners covering architecture, taxonomies, metadata/lineage, store registration, gold source consumption and retention, and quality SLAs. Establish robust evaluation & monitoring: offline/online testing, quality metrics (precision/recall), bias/fairness reviews, red?teaming, security testing, drift/latency monitoring, and incident playbooks. Define standards for GenAI platform usage: prompt and knowledge base governance, vector store and content filter policies, audit logging, and HITL acceptance criteria. Reporting & transparency: publish governance dashboards (use?case pipeline, model inventory, risk posture, benefits realization) and brief leadership and auditors. Coach and enablement: deliver training and playbooks to uplift LRCO teams on governance, privacy, data quality, and evaluation practices. Required qualifications, capabilities, and skills Minimum 8 years in data governance, risk, compliance, or product 3+ years leading AI/ML or GenAI governance in regulated environments. Bachelor's degree required advanced degree in data/AI, risk, or related field. Deep knowledge of AI/ML governance and model risk processes (model vs. analytical tool designation, submissions, controls, monitoring). Proficient knowledge of the product development life cycle, Experience in product life cycle activities, including discovery and requirements definition. In-depth knowledge of Agile process and principles, including use of Agile project management tools (i.e., Confluence, JIRA, Git, etc.) Strong grasp of Responsible AI practices (HITL, privacy, fairness, explainability) and awareness of EU AI Act categories and prohibited AI checks. Proven experience partnering with Legal and risk teams to translate policy into product and control requirements. Expertise in data management (lineage, metadata, taxonomy, store registration, data quality) and working with Data Owners. Fluency with data risk and privacy standards (data classification, retention, personal information policies). Strong stakeholder management across Product, Engineering/ML, CDAO, and business leaders excellent written/spoken communication. Metrics?driven: defines KPIs (accuracy/precision/recall, time?to?resolution, cost?to?serve, reliability/latency) and builds telemetry for continuous improvement.

As a Data Domain Architect Lead in our data management team, you will be part of a high-performing team focused on delivering innovative data analytics solutions. Your main responsibilities will include developing strategies for effective data analysis and reporting, selecting, configuring, and implementing analytics solutions. You will have the opportunity to promote commitment focused on the delivery of data management capabilities within the KYC Analytics Strategic Platform. In this role, you will collaborate with LOB, Consumers, and Technology to perform root cause analysis and develop strategic remediation paths for data quality issues in Reference Data and Vendor applications. You will coordinate with LOB Business Leads, Reference Data Domain Leads, and KYC Solutions to address data quality issues related to KYC and Reference Data sourced via the KYC Analytics Platform. Additionally, you will act as a subject matter expert on KYC data, assisting various teams with ad hoc requests. Your responsibilities will also include documenting processes and procedures for resolution and coordinating handover to the KYC & LOB Operations team when necessary. You will develop strategies for effective data analysis and reporting, defining company-wide metrics and relevant data sources. Moreover, you will select, configure, and implement analytics solutions while leading a team of data analysts to ensure quality and correct discrepancies. You will build systems to transform raw data into actionable business insights, monitor project progress, and provide regular status updates to management through presentations and materials. To qualify for this role, you must have a bachelor's degree in Computer Science, Statistics, Data Management, or related fields. You should have over 15 years of experience, particularly as a Data Management Lead with a focus on Data Analytics and Business Analysis. Demonstrated expertise in data management deliverables such as Data Mapping, Data Lineage, Data Taxonomy, Data Quality, and Data Governance is essential, along with experience in implementing Data Quality Frameworks and managing data quality issues. Strong analytical, critical thinking, and problem-solving skills are required, with the ability to develop and present conclusions and solutions while considering inherent risks. Proficiency in data analysis, reporting, and developing automated data solutions is essential. You should also possess excellent communication and management skills, capable of leading meetings, multitasking, and adapting to changing priorities. Proficiency in MS Office and data interrogation tools like SQL, Alteryx, Qlik Sense, Tableau, and Python is required, with subject matter expertise in KYC, AML, and Client Reference Data.,

Join us to lead data modernization and maximize analytics utility. As a Data Owner Lead at JPMorgan Chase within the Data Analytics team, you play a crucial role in enabling the business to drive faster innovation through data. You are responsible for managing customer application and account opening data, ensuring its quality and protection, and collaborating with technology and business partners to execute data requirements. Your primary job responsibilities include documenting data requirements for your product and coordinating with technology and business partners to manage change from legacy to modernized data. You will have to model data for efficient querying and use in LLMs by utilizing the business data dictionary and metadata. Moreover, you are expected to develop ideas for data products by understanding analytics needs and creating prototypes for productizing datasets. Additionally, developing proof of concepts for natural language querying and collaborating with stakeholders to rollout capabilities will be part of your tasks. You will also support the team in building backlog, grooming initiatives, and leading data engineering scrum teams. Managing direct or matrixed staff to execute data-related tasks will also be within your purview. To be successful in this role, you should hold a Bachelor's degree and have at least 5 years of experience in data modeling for relational, NoSQL, and graph databases. Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions is crucial. Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) is also required. Furthermore, you should possess the ability to balance short-term goals and long-term vision in complex environments, along with knowledge of open data standards, data taxonomy, vocabularies, and metadata management. A Master's degree is preferred for this position, along with the aforementioned qualifications, capabilities, and skills.,

Hands-on software development and will be primarily responsible for creating good quality requirement specification and high-level design of reporting workflow Should be able to contribute towards good software design System Integration testing of developed software Do requirement specification review of other team members. Participate and manage daily stand-up meetings. Participate in Agile Scrum ceremonies Articulate issues and risks to team leads in timely manner This role will require 50% Technical & 50% Functional involvement on other activities like team handling, mentoring, status reporting, year-end appraisals. Analyze software defects and fix them in timely manner Work closely with Functional Analysis and Quality Assurance teams and other developers in the team for completion of task in hand Your skills and experience IT Exp of 12+ yrs preferably with 4+ yrs of relevant working experience in Regulatory Reporting Platforms Must have Proficiency in RDBMS and in performance tuning of complex SQL queries in Bigdata like databases, 6 - 8-years experience in below functional domains in leading design/architecting the solutioning for major reporting platforms - Regulatory Reporting (preferred), Finance, Accounting, Derivatives, Trade Life Cycle, Risk Management, Capital Markets, Investment Banking Liquidity - LCR implementation, Risk - BASELimplementation, financial data modelling & analysis -CB/IB products Working knowledge of workflow and job schedule management tools Hands on Experience of IT Business Analyst role involving; Requirement Gathering, Data Onboarding / Sourcing, Data Analysis, Requirement documentation, User Acceptance Testing Hands on experience of handling Local Reg Reporting requirements for Finance or Operations including products like FX, Derivatives, Bonds, Repos, Loans, Deposits, Trade Finance etc. Good understanding of the complete Trade Lifecycle for the above-mentioned products Good Understanding of Post Trade & Settlement Processes along with accounting principles and standards for reporting like GAAP, IFRS etc. Knowledge of Financial Statements like Balance Sheet, Income & Loss Statement, Cashflow Statement along with other regular reports like EMIR, MIFID, DFA, CCAR, Liquidity Coverage Ratio, Large Exposures Reporting, Non-Performing Assets Reporting etc. Preferable if you have experience on some of the below as well Experience of Data Taxonomy and Local Regulatory Reporting Data modelling, Experience of working on any of the Local Regulatory Reporting requirements for APAC Regions (around MAS, APRA, RBI) Experience of working on Regulatory Reporting Vendor Packages such as Axiom, etc. Agile methodology delivery experience

Role Description A Senior (Techno Functional) Engineer is responsible for designing, developing and delivering end to end working product for the business users, based on a given broader business requirement, by applying techno functional expertise drawn from both technical and functional experience and knowledge so that to accomplish business goals efficiently and reliably. Key responsibilities of this role include Active participation in the design of their solution components with business, with a solution mindset Investigating re-use, ensuring that solutions are fit for purpose, reliable, maintainable, and can be integrated successfully into the overall functional solution and environment with clear, robust and well tested deployments. Advising businesses on investing in new technologies/solutions in alignment to the banks architecture blueprint Managing end to end delivery of realizing the business benefit Actively look for opportunities to improve the availability and performance of components by applying the learning from monitoring and observation, automating towards zero touch, and championing a DevOps mind-set Your key responsibilities Hands-on software development and will be primarily responsible for creating good quality requirement specification and high-level design of reporting workflow Should be able to contribute towards good software design System Integration testing of developed software Do requirement specification review of other team members. Participate and manage daily stand-up meetings. Participate in Agile Scrum ceremonies Articulate issues and risks to team leads in timely manner This role will require 50% Technical & 50% Functional involvement on other activities like team handling, mentoring, status reporting, year-end appraisals. Analyze software defects and fix them in timely manner Work closely with Functional Analysis and Quality Assurance teams and other developers in the team for completion of task in hand Your skills and experience IT Exp of 12+ yrs preferably with 4+ yrs of relevant working experience in Regulatory Reporting Platforms Must have Proficiency in RDBMS and in performance tuning of complex SQL queries in Bigdata like databases, 6 - 8-years experience in below functional domains in leading design/architecting the solutioning for major reporting platforms - Regulatory Reporting (preferred), Finance, Accounting, Derivatives, Trade Life Cycle, Risk Management, Capital Markets, Investment Banking Liquidity - LCR implementation, Risk - BASELimplementation, financial data modelling & analysis -CB/IB products Working knowledge of workflow and job schedule management tools Hands on Experience of IT Business Analyst role involving; Requirement Gathering, Data Onboarding / Sourcing, Data Analysis, Requirement documentation, User Acceptance Testing Hands on experience of handling Local Reg Reporting requirements for Finance or Operations including products like FX, Derivatives, Bonds, Repos, Loans, Deposits, Trade Finance etc. Good understanding of the complete Trade Lifecycle for the above-mentioned products Good Understanding of Post Trade & Settlement Processes along with accounting principles and standards for reporting like GAAP, IFRS etc. Knowledge of Financial Statements like Balance Sheet, Income & Loss Statement, Cashflow Statement along with other regular reports like EMIR, MIFID, DFA, CCAR, Liquidity Coverage Ratio, Large Exposures Reporting, Non-Performing Assets Reporting etc. Preferable if you have experience on some of the below as well Experience of Data Taxonomy and Local Regulatory Reporting Data modelling, Experience of working on any of the Local Regulatory Reporting requirements for APAC Regions (around MAS, APRA, RBI) Experience of working on Regulatory Reporting Vendor Packages such as Axiom, etc. Agile methodology delivery experience