At a Glance
- Tasks: Lead product strategy for enterprise data solutions and drive adoption across key domains.
- Company: BNY, a global leader in financial services with a culture of growth and innovation.
- Benefits: Competitive pay, flexible resources, generous leave, and a focus on wellbeing.
- Other info: Join a diverse team committed to excellence and community upliftment.
- Why this job: Shape the future of data solutions and make a real impact in a dynamic environment.
- Qualifications: Experience in financial services and strong product leadership skills required.
The predicted salary is between 100000 - 150000 £ per year.
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting‑edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Responsibilities
- Own product strategy and outcomes for enterprise master data adoption across key domains, including Client/Party, Contract, Security & Pricing, Product, and Reference Data, ensuring breadth of coverage while enabling domain‑specific depth where needed.
- Drive enterprise‑wide adoption of DSS products, partnering with senior leaders across multiple technology and data platforms to define adoption strategy, identify gaps, align roadmaps, and provide accountability.
- Act as a senior product leader shaping how master data, canonical data models, and enrichment capabilities are designed to work together, supporting interoperability and reuse within an evolving data mesh architecture.
- Influence the development of data products across the bank by setting clear expectations for usability, interoperability, and adoption, and by ensuring DSS products can be effectively consumed within federated product teams.
- Embed an AI‑first mindset into product strategy, identifying and prioritising opportunities where AI and advanced analytics can improve data quality, accelerate onboarding, reduce friction, and increase adoption by working in close partnership with engineering and data teams.
- Assess enterprise data maturity and adoption patterns, using insights related to data governance by design to drive more effective consumption of DSS products rather than duplicative or bespoke solutions.
- Operate as a trusted partner to executive and senior leaders, influencing and aligning stakeholders across platforms, disciplines, and Lines of Business to drive shared accountability for adoption outcomes.
- Define and track meaningful success measures for adoption and impact, translating complex platform progress into clear, outcome‑oriented narratives for senior leadership.
- Serve as a visible advocate for product‑led data practices, helping elevate how data products are conceived, delivered, and adopted across the enterprise.
Qualifications
- Experience in financial services, with a strong track record in enterprise‑scale data, platform, or technology transformation.
- Deep experience working with enterprise data, with strong understanding of master data concepts across multiple domains; hands‑on master data delivery experience is a strong advantage but not required.
- Proven ability to drive enterprise adoption of products within complex, federated organizations, including influencing outcomes without direct authority.
- Strong product leadership skills, with experience shaping strategy and outcomes in a product‑led operating model, even where delivery is distributed across multiple teams.
- Familiarity with modern data architectures and practices (interoperable data products, data mesh concepts), and an appreciation for how AI can be applied pragmatically to improve outcomes.
- Solid grounding in data governance principles (quality, lineage, controls), with the ability to assess maturity and drive adoption of standards rather than enforce compliance through mandate.
- Exceptional communication and stakeholder‑management skills, with demonstrated ability to influence and align executive‑level stakeholders across engineering, architecture, data, operations, and business strategy.
- Strong analytical judgment and comfort operating in ambiguity, with the ability to translate complex enterprise challenges into clear product direction and priorities.
- Bachelor’s degree required; advanced degree or equivalent experience preferred.
Benefits
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay‑for‑performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
Director, POM Product Management – Data Solutions and Services (DSS) employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Director, POM Product Management – Data Solutions and Services (DSS)
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at BNY. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Prepare for interviews by diving deep into BNY's culture and values. Show us how your experience aligns with their mission and how you can contribute to their innovative projects.
✨Tip Number 3
Practice your pitch! Be ready to explain how your skills in data management and product leadership can drive enterprise adoption at BNY. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the team.
We think you need these skills to ace Director, POM Product Management – Data Solutions and Services (DSS)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Director, POM Product Management role. Highlight your experience in enterprise data and product strategy, and show how your skills align with our mission at BNY.
Showcase Your Impact: When detailing your past roles, focus on the outcomes you've achieved. Use metrics and specific examples to demonstrate how you've driven product adoption and influenced stakeholders in complex environments.
Emphasise Collaboration: We value teamwork! Make sure to mention your experience working with cross-functional teams and how you've partnered with senior leaders to drive successful product strategies and outcomes.
Apply Through Our Website: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensure you’re considered for this exciting opportunity at BNY.
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
Make sure you have a solid understanding of master data concepts and how they apply to the financial services sector. Brush up on your knowledge of enterprise data, especially in areas like Client/Party and Reference Data, as this will show your expertise and readiness for the role.
✨Showcase Your Leadership Skills
Prepare examples that demonstrate your ability to influence stakeholders and drive product adoption without direct authority. Think about times when you've successfully aligned teams or led initiatives in complex environments, as this will highlight your product leadership capabilities.
✨Emphasise Your AI Mindset
Since the role requires an AI-first approach, be ready to discuss how you've integrated AI and advanced analytics into product strategies in the past. Share specific instances where these technologies improved data quality or user adoption, showcasing your forward-thinking attitude.
✨Communicate Clearly and Confidently
Practice articulating complex ideas in a straightforward manner. You’ll need to translate intricate data challenges into clear narratives for senior leadership, so focus on being concise and impactful in your communication style during the interview.