Vice President Data Owner Lead (Data & Analytics)

Description

As Data Owner Lead you will drive impactful data strategies and fostering a data-driven culture. This role offers opportunities for career growth skill development and collaboration with industry-leading experts. Be part of a team that leverages AI and machine learning to support the firms commercial addition to strong governance execution this role emphasizes hands-on data product delivery bringing data together from multiple sources shaping it into high-quality reusable data products and enabling broad consumer populations and advanced analytical solutions.

As a Data Owner Lead within the Chief Data & Analytics Office you will execute data strategies that align with business operations and strategic objectives. You will collaborate with cross-functional teams to ensure data is understood fit for purpose and well-governed. You will also partner with Technology and Analytics to define and maintain data products including curation semantic consistency documentation and lifecycle this role you will help drive organizational growth and competitive advantage by supporting a culture of data-driven decision-making.

You will work closely with partners across Business Technology Analytics Operations and Risk and Control functions. Your leadership will ensure data quality integrity and security while supporting innovation and compliance with data governance standards. You will partner with information architecture and data platform teams to ensure data products are scalable discoverable and fit for enterprise use.

Job Responsibilities

• Lead data project execution mitigating risks and inefficiencies.
• Develop relationships with data providers and consumers across multiple broad-based consumer populations (operations reporting analytics data science) to understand usage patterns and improve usability of curated datasets and data products.
• Collaborate with partners to document and classify critical data with metadata is actionable and supports discovery and reuse (business definitions technical metadata lineage quality rules/thresholds and product documentation).
• Provide subject matter expertise on data content and usage within the business and associated product areas.
• Document requirements for data sourcing content and quality. Define requirements for integrating multiple upstream sources (including mapping transformation logic and reconciliation) and for building curated datasets that support analytics and reporting use cases.
• Develop processes to identify and mitigate data risks throughout the data lifecycle including data protection privacy retention destruction storage use and quality. Ensure controls are operationalized within pipelines and data products (e.g. automated quality checks monitoring/alerting and auditable evidence).
• Support data analytics by governing data integration into analytics platforms including designing fit-for-purpose curated datasets and feature-ready data products for advanced analytics/ML use cases.
• Communicate and resolve data issues maintaining data integrity; Support data issue triage and root-cause analysis with business and technology partners; drive remediation and preventative controls to reduce recurrence.
• Leverage AI/ML and LLM tooling to automate governance and data management activities (e.g. metadata drafting/classification control evidence generation quality rule suggestions lineage/documentation assistance) including prompt creation and evaluation; contribute to agent-based workflow designs where appropriate.

Required Qualifications Capabilities and Skills

• Bachelors degree in Data Science Computer Science Information Systems Data Analytics or equivalent professional experience.
• Five years of experience in data management data governance or risk management/ experience delivering or partnering closely on delivery of data products or curated datasets that integrate multiple sources for enterprise consumption.
• Strong leadership skills with a proven track record with the ability to drive and communicate strategic change lead cross-functional teams and manage delivery timelines.
• In-depth understanding of data management principles and governance knowledge of the data development lifecycle and familiarity with the operating model for data products (build release run change).
• Excellent analytical and problem-solving skills.
• Strong communication skills for technical and non-technical stakeholders.
• Proven ability to build relationships with key stakeholders and manage large-scale data projects; Ability to translate consumer needs into clear data requirements acceptance criteria and measurable outcomes (quality usability adoption).

Preferred Qualifications Capabilities and Skills

• Experience with cloud-based data platforms such as AWS Azure or Google with data lake/lakehouse concepts and information architecture practices.
• Familiarity with advanced analytics machine learning or AI applications; Hands-on experience leveraging LLMs for productivity and governance automation (prompt engineering patterns agent/tooling concepts evaluation/monitoring of outputs).
• Knowledge of query or analytical programming languages. (e.g. SQL; Oracle a plus) and comfort partnering with engineering on ingestion/transformation patterns.
• Experience in leading digital transformation initiatives leveraging data.
• Experience in data product management; Experience establishing operating processes for data products (documentation standards quality SLAs/SLOs monitoring/alerting and lifecycle/deprecation).

Required Experience:

Exec

Employment Type : Full-Time
Experience: years
Vacancy: 1