Senior consultant in Data Strategy & Management within Sopra Steria Next’s Data practice, supporting large organizations in defining and implementing data strategies.
Responsibilities
Accompagner les stratégies de transformation Data
Réaliser des diagnostics et des évaluations de maturité Data
Contribuer à la définition des feuilles de route Data
Identifier les cas d'usage prioritaires et les opportunités de valorisation de la donnée
Participer à la conception de modèles opérationnels Data
Requirements
Diplômé(e) d'une école d'ingénieurs, de commerce ou d'une université reconnue
Lead the strategy, roadmap, and delivery of Bloomberg’s Holdings data product, shaping its evolution to support ownership, portfolio, and exposure analytics.
Responsibilities
Shape the evolution of Bloomberg’s Holdings data product
Define the product strategy, outcomes, and roadmap
Deepen how Holdings supports ownership, portfolio, and exposure analytics
We are looking for a Data Product Owner to shape the strategy and evolution of Bloomberg’s Holdings data product, focusing on ownership, portfolios, and investment exposure.
Shape the evolution of Bloomberg’s Holdings data product, identifying where improvements to coverage, quality, completeness, connectivity, and usability can create the greatest client and product value
Define the product strategy, outcomes, and roadmap, using evidence to decide where Holdings should improve, expand, or differentiate and making clear prioritization and tradeoff decisions
Deepen how Holdings supports ownership, portfolio, and exposure analytics, including evaluating how evolving instruments, derivatives, and direct and indirect ownership structures should be represented
Identify new opportunities for Holdings data, particularly across ownership analytics, portfolio analysis, exposure, risk, and regulatory use cases
Turn insight into product decisions, using client feedback, usage data, market developments, and competitive intelligence to test assumptions and determine where to invest
Requirements
Nice to have: institutional investment workflows
Nice to have: portfolio analytics
Nice to have: exposure analytics
Nice to have: risk analytics
Nice to have: regulatory analytics
Senior Data Management Professional - Data Product Owner - Holdings
Shape the evolution of Bloomberg’s Holdings data product, defining strategy, roadmap, and prioritizing improvements to support ownership, portfolio, and exposure analytics.
Owns stakeholder relationships and lifecycle of MedTech Supply Chain data products, translating needs into governed data models and measurable outcomes.
Responsibilities
Discover and prioritize business problems, decisions, workflows, use cases, and outcomes that data products must support through stakeholder workshops and interviews.
Translate prioritized use cases into a product charter with clear scope, success measures, acceptance criteria, requirements, domains, source systems, owners, consumers, and dependencies.
Own assigned data products across their lifecycle from discovery through deployment, marketplace publication, adoption, and enhancement, maintaining roadmap, backlog, readiness evidence, metadata record, adoption plan, and performance scorecard.
Lead domain-aligned data product squad(s) and align business stakeholders, data stewards, data modelers, architects, engineers, platform teams, and delivery partners on priorities, responsibilities, decisions, and required artifacts and approvals.
Establish governance and build readiness by defining ownership, business definitions, metadata, data-quality requirements, semantic standards, and reusable data models validated against business use cases.
Lead AI product management for Global Payments Solutions, translating business priorities into execution-ready use cases and driving adoption of AI capabilities across banking operations.
Compensation
$105,700.00 - $164,700.00 annualized salary, offers to be determined based on experience, education and skill set. Discretionary incentive eligible
Responsibilities
Support the Data and AI product roadmap for Global Payments Solutions by translating business priorities into clear use cases, requirements, delivery plans, and success measures.
Maintain practical AI product management routines, including prompt libraries, reusable workflows, intake processes, governance checkpoints, adoption playbooks, value measurement, and responsible AI controls.
Lead focused discovery and solution design, including prompt frameworks, retrieval approaches, payments data requirements, user journeys, business cases, user feedback, and production-readiness plans.
Prepare concise updates on tradeoffs, risks, adoption progress, measurable outcomes, and recommendations for senior stakeholders.
Coordinate execution across Product, Technology, Data Science, Risk, Compliance, Legal, Operations, Sales, and client-facing teams, escalating blockers and keeping delivery moving.
Lead a team to deliver impact across data product tooling, experiences, and enterprise adoption, bridging engineering and business strategy.
Locations (3)
McLean, Virginia, United States
Richmond, Virginia, United States
New York, New York, United States
Compensation
The minimum and maximum full-time annual salaries for this role are listed below, by location. McLean, VA: $164,800 - $188,100 for Manager, Product Management Richmond, VA: $149,800 - $171,000 for Manager, Product Management New York, NY: $179,700 - $205,100 for Manager, Product Management
Responsibilities
Bridge engineering and business strategy to make data easy to build, discover, and consume
Lead a team to deliver impact across tooling, experiences, and enterprise adoption
Streamline delivery processes and establish co-development models with partners
Defining and executing data strategy for the Product+ portfolio, managing third-party data and technology relationships, and advising leadership on data asset monetization.
Compensation
The wage range for this role takes into account the wide range of factors that are considered when making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate... is $134,500 - $265,100.
Lead a portfolio of enterprise data products that power analytics, operational reporting, financial insights, customer intelligence, and AI/ML use cases across the organization.
Responsibilities
Own Data Product Strategy & Roadmaps
Define and manage roadmaps for a portfolio of enterprise data products
Translate business problems into scalable, reusable data models
Ruthlessly prioritize based on business value, architectural integrity, and long-term platform health
Drive alignment across Product, Engineering, Analytics, and Business leaders
Integrate cutting-edge AI technologies and scale a modern, trustworthy data ecosystem
Requirements
Bachelor's or Master’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems)
Bachelor's degree in any field and at least 3 years of Product Management experience
Nice to have: Translating business strategy and analysis into consumer-facing digital products
Data Strategy & Procurement_Products & PlatformsDeloitte · Aguascalientes, US