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Full-time
bachelor degree, postgraduate degree
Posted 7d ago
~40 hrs/week
Responsibilities
Define and execute the Finance data strategy to establish a trusted enterprise data foundation for AI, automation, and advanced analytics. Lead data governance, quality, and architecture while partnering across Finance and IT to deliver measurable business value.
Requirements
Requires a degree in Mathematics, Statistics, Computer Science, or a related field with typically 10+ years of experience in data architecture and governance. Must possess strong technical skills in data science tools, cloud services, and statistical modeling within the finance domain.
Full job description
Senior Data Scientist
Description -
Job Summary Define and execute the Finance data strategy to establish a trusted enterprise data foundation that enables transformation, AI, automation, and advanced analytics. Lead data governance, quality, stewardship, standards, and business data architecture while enabling development of scalable data products, standardized KPIs, and enterprise data models. Partner across Finance, IT, and business functions to ensure trusted, accessible, and AI-ready data that accelerates decision-making and delivers measurable business value. The role will also be responsible to dive data literacy programs for finance users
Responsibilities
Define and maintain the Finance Data Strategy to enable AI, automation, and advanced analytics and roadmap aligned with Finance and enterprise transformation priorities.
Establish governance to create trusted, standardized, and AI-ready data across Finance and partner functions?
Build data literacy and drive adoption of governed data, analytics, and AI capabilities across a global Finance organization?"
Partner with IT and BI teams to establish and govern Finance data policies, standards, ownership, and stewardship to ensure trusted, consistent, and compliant data.
Drive the Finance data governance operating model, including governance forums, decision-making, and accountability across functions.
Define the target Finance data architecture, critical data domains, enterprise data models, and standardized business definitions.
Prioritize strategic data capabilities and investments to enable AI, automation, analytics, and digital transformation.
Establish data quality, metadata, lineage, and governance frameworks, monitoring adherence through appropriate governance mechanisms.
Partner with Finance, IT, Enterprise Data, and business leaders to align data priorities, influence enterprise data strategy, and resolve cross-functional data challenges.
Define governance metrics and oversee the maturity and adoption of Finance data capabilities, ensuring alignment with strategic business outcomes.
Education & Experience Recommended • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of work experience, preferably in data architecture, strategy, data policies, governance and driving analytics, statistical modelling, machine learning, or a related field initiatives for finance domain
Knowledge & Skills
Data Architecture, polcies and standards
Data governance
Federated Data Lake
Azure service
Algorithms
Amazon Web Services
Apache Spark • Artificial Intelligence • Big Data • Computer Science • Data Analysis • Data Mining • Data Science • Data Visualization • Deep Learning • Machine Learning • Natural Language Processing • Predictive Modeling • Python (Programming Language) • R (Programming Language) • SQL (Programming Language) • Statistical Modeling • Statistics • Tableau (Business Intelligence Software)
Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity
Impact & Scope • Impact finance wide data strategy working with senior IT, Finance and Business stakeholder Complexity • Provides highly innovative solutions to complex problems within established policy.
Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
#LI-post
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (India)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
Finance Data StrategyData GovernanceData ArchitectureAIAutomationAdvanced AnalyticsKPIsEnterprise Data ModelsData LiteracyFederated Data LakeAzureAWSApache SparkBig DataData VisualizationPredictive Modeling
Offices: 1501 Page Mill Road, Palo Alto, CA 94304, US · Cami de Can Graells, 1, Sant Cugat del Valles, Catalonia 08174, ES · Soseaua Fabrica de Glucoza 5, Bucharest, Bucharest 020331, RO · Engholm Parkvej 8, Lillerod, Capital Region 3450, DK · 11311 W Chinden Blvd, Boise, ID 83714, US
Offices: 1501 Page Mill Road, Palo Alto, CA 94304, US · Cami de Can Graells, 1, Sant Cugat del Valles, Catalonia 08174, ES · Soseaua Fabrica de Glucoza 5, Bucharest, Bucharest 020331, RO · Engholm Parkvej 8, Lillerod, Capital Region 3450, DK · 11311 W Chinden Blvd, Boise, ID 83714, US