דרושים Strategic Initiatives Delivery Product Owner ב-גיי פי מורגן ב-United States, Plano

Job Description:

As a Data Engineer - Databricks in our Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.

Job Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Provide guidance to the immediate team of software engineers on daily tasks and activities.
• Set the overall guidance and expectations for team output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in data mapping, data architecture, and data modeling on Databricks.
• Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.
• Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).
• Strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences.
• Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
• Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.
• Experience in building Notebooks with complex code structures and debugging failed jobs.
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
• Proven ability to deliver high-quality features into production systems in a rapid-paced, iterative development environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with machine learning and data science workflows.
• Familiarity with data visualization tools and techniques.
• Knowledge of data governance and security best practices.
• Experience in carrying out data analysis to support business insights.

Are you ready to take on a pivotal role in shaping data strategies that drive business operations and strategic objectives? As a Data Owner Lead, you will be at the forefront of executing data strategies that empower our organization to achieve its goals. Serving as a subject matter expert, you will bridge the gap between data providers and consumers, ensuring that business data is not only understood and fit for purpose but also well-governed.

As a Data Owner Lead within our data management team, you will play a pivotal role in executing data strategies that promote business operations and strategic objectives. You will serve as a subject matter expert, coordinating between providers and consumers to ensure business data is understood, fit for purpose, and well-governed. Collaborating with cross-functional teams, you will identify and prioritize data needs, ensuring data quality, protection, integration, and utilization across the organization. Your leadership will foster a data-promoten culture that supports organizational growth and competitive advantage. As a Data Owner Lead, you will implement strategic data plans, manage projects, and collaborate with partners to ensure data is well-documented and controlled. You will lead efforts to mitigate data risks and enhance data quality, ensuring data serves as a trusted asset for decision-making and innovation.

Job Responsibilities:

• Implement strategic plans to deliver data solutions that effectively support business operations and strategic objectives, to align with organizational goals
• Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project / initiative
• Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
• Document comprehensive requirements for data sourcing, content and quality, and coordinate with technology and business partners to ensure timely, complete, and accurate data
• Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality
• Support data analytics and products by identifying and governing data required to be integrated into analytics platforms to support analytics projects
• Communicate and resolve data issues in a timely and consistent manner, maintaining data integrity and consumer trust
• Manage and guide direct or matrixed staff in executing data-related tasks and initiatives

Required qualifications, capabilities, and skills:

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related fieldl
• 6+ years of experience in data management, data governance, risk management/analytics, or a related field
• Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
• In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification
• Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
• Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
• Strong leadership skills with experience in managing and mentoring cross-functional teams
• Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects

Preferred qualifications, capabilities, and skills:

• Experience with cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud.
• Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context.
• Knowledge of query or analytical programming languages
• Experience in leading digital transformation initiatives that leverage data to drive business innovation and efficiency.

Job Responsibilities:

• Provide senior stakeholders with comprehensive financial reviews, helping them understand profitability drivers to make informed decisions.

• Conduct in-depth variance analysis on financial results to identify trends and opportunities.

• Dive into activity-based costing models to uncover and implement expense efficiencies, driving cost-effective strategies.

• Collaborate with desk heads to develop key performance metrics

• Deliver monthly and quarterly financial reports that inform and guide senior management decisions.

• Lead efforts to enhance month end controls and streamline processes through automation, boosting efficiency and accuracy.

• Champion global consistency and foster synergies across the product team, uniting efforts to achieve shared goals and drive collective success.

• Participate in month end activities to ensure accurate and timely financial reporting, maintaining the integrity of financial data.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Accounting, Finance, or a technical subject.

• Minimum of 2 years of relevant Financial Services experience.

• Proficiency with Excel, PowerPoint, Essbase, and financial applications.

• Strong analytical skills and experience with Alteryx

• Excellent verbal and written communication skills.

• Ability to maintain composure in a fast-paced environment.

• Integrity in handling sensitive and confidential information.

• Understanding of financial principles and MIS reporting systems.

• Team player with the ability to be a trusted partner.

Preferred Qualifications, Capabilities, and Skills:

• Experience in Asset Management or related financial services.

• Accounting or professional qualification (CPA, CFA, MBA).

• Familiarity with investment management across asset classes.

• Strong problem-solving skills and attention to detail.

• Ability to work independently and manage multiple projects.

• Enthusiastic and proactive approach to work.

• Experience in developing financial models and tools.

• Knowledge of global financial markets and trends.

Job responsibilities

• Defines product strategy, product vision, and build roadmaps that delivers value to the customers
• Lead discovery efforts and apply industry and market research to shape product ideas and opportunities into initiatives that brings solutions to life
• Defines product success measures by setting key performance indicators (KPIs), objectives and key results (OKRs), and outcomes
• Identify data needs and tracking for analyses and measurements, drive data accessibility for the team
• Write PRDs, product specs, and requirements, and collaborate with tech teams to set milestones, breakdown steps, and write Jira epics and stories
• Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
• Use data and customer feedback to perform analyses that inform product decisions, understand opportunity size, impact/reach, and drives continuous improvement of a product, feature, or idea
• Communicates product vision, strategy, and progress to stakeholders at all levels of the organization
• Determine the best path forward by collaborating with tech teams on system and architectural designs that anchors in a customer-first approach
• Leads the development and execution of AI-driven product strategies, ensuring alignment with business goals and market needs
• Collaborates with cross-functional teams, including engineering, data science, and design, to deliver innovative AI solutions

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in product management, data products, advanced analytics, or a relevant domain area
• Advanced knowledge of the product development life cycle, design, and data analytics
• Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• Strong analytical skills and experience with data-driven decision-making
• Excellent communication and interpersonal skills, with the ability to influence and collaborate with cross-functional teams
• Experience with agile development methodologies and tools including Jira
• Passion for understanding customer needs and delivering exceptional user experiences
• Expertise in AI technology (ML, LLMs, Agentic AI, etc.) and algorithm optimization
• Knowledge of APIs to design and implement seamless integrations with third-party platforms and services
• Experience overseeing data movement and integration processes, ensuring data integrity, security, and compliance
• Ability to stay current with advancements in AI technologies and industry best practices

Preferred qualifications, capabilities, and skills

• Demonstrated prior experience working in a highly matrixed, complex organization
• Customer-facing products (B2C) experience preferred; MBA or advanced degree preferred
• Strong understanding and experienced with building data infrastructures and data pipelines, especially to power the scalability of AI
• SQL and/or Python skills preferred; Advanced Analytics skills preferred
• Ability to adapt to changing priorities and manage multiple goals simultaneously
• Knowledge of UX principles to ensure that personalization efforts enhance the overall user experience

Job Responsibilities:

• Develop and execute product vision and strategy in partnership with our engineering teams and your customers and establish a multi-year roadmap for our products to illustrate our vision and plan into the future.
• Engage in upfront discovery work leveraging industry best practices to determine the right thing to build by analyzing various market segments and collaborating with leadership to choose the best ones to pursue.
• Manage the revenue recovery and expenses of the product, always striving to strike the optimal balance between features, stability, and cost efficiencies.
• Track performance results and recommend changes to our product and processes to create improvement.
• Thrive in a team environment with good interpersonal skills by collaborating and building relationships with engineers, development teams, architects, operations partners, and business clients.
• Manage vendor engagements in data security space with support from architects and engineering leads
• Cultivate security culture with your product technology and business colleagues. Products that have the right security culture will strive to prioritize sustainable controls and driving real risk reduction outcomes. Embed threat modelling, solutions architecture, secure code review into product and application teams so they adopt our control products and create products that are secure from the start.
• Know your product across its breadth and depth. Be fluent in your product’s strategy and roadmap as well as its key investment programs. Identify unfamiliar technology components, capabilities, and business concepts and be self-motivated to learn all about them, applying critical thinking to identify hidden issues along the way.
• Be your product’s security thought leader. Learn from your product and cybersecurity teams and share best practice in both directions. Be recognized in your product as the clear point of escalation and subject matter expert for IT Risk and Cyber domains.

Required Qualifications, Capabilities, and Skills:

• 5+ years of experience or equivalent expertise in product management or a relevant domain area
• Experienced in designing and implementing cloud services (e.g., IaaS, PaaS, SaaS, etc.) offered from public cloud service providers (e.g., AWS, Microsoft Azure, etc.)
• Cryptographic Security Controls (KMS, Encryption, Tokenization, or similar) experience required
• Deep understanding of encryption at Rest, in Transit, and in Use
• Proficient in security protocols and encryption technologies, with a strong understanding of cybersecurity best practices, including Public Key Infrastructure (PKI), Identity and Access Management (IAM), and key management best practices such as key generation, storage, distribution, rotation, and revocation.
• Ability to comprehend the technical aspects of cryptographic principles, enabling effective implementation and management of cryptographic solutions.
• Familiarity with recent Data Protection and Encryption trends.
• Demonstrated use of qualitative and quantitative data to prioritize and drive decision-making.
• Ability to provide direction and guidance on business use cases and requirements for Data Security solutions.
• Usage of best practice agile scrum development and lean principles.
• Experienced in the end-to-end information technology (IT) processes, including architecture, design & engineering, implementation, and operations.

Preferred Qualifications, Capabilities, and Skills:

• Experience with HSM technologies with ability to apply HSM knowledge towards functional requirements and overall product roadmap
• Experience with HSM backed Payment systems and PCI requirements
• Experience with enterprise-scale software development is a plus.
• Excellent interpersonal and communication skills, including ability to negotiate compromise and demonstrate diplomacy in sensitive situations and to interact effectively with peers and management across diverse cultures.
• Curious and comfortable holding professional conversations with our target users.
• Excellent writer and public speaker in front of large, senior groups, and able to cater messaging to diverse audiences.
• Demonstrated people skills to interact with staff, colleagues, cross-functional teams and third parties.
• Cloud security certifications (vendor specific) (e.g., AWS Certified Solutions Architect) preferred