Director of Product & Data Strategy

The posting, as Liveops wrote it

About Liveops
Liveops is redefining what outsourced customer service means in a modern, always-on world, built on the belief that genuine connection drives brand loyalty. For over 25 years, we’ve paired cutting-edge technology with trusted, remote, and empathetic human expertise to deliver agile, high-touch customer support solutions that scale with precision and care. As pioneers in the flexible workforce model, we bring global reach with unmatched adaptability—helping brands meet customer needs, anywhere, anytime. From complex interactions to seasonal surges, we proudly serve Fortune 500 and enterprise clients—delivering personalized experiences that earn trust and drive lasting impact. It’s not outsourcing; it’s outsmarting. To learn more, visit www.liveops.com .

The Director of Product & Data Strategy is responsible for the strategy, implementation, and management of enterprise business systems, AI products, and data platforms across the organization. This role ensures that enterprise applications, such as Salesforce, and collaboration tools operate securely, reliably, and at scale, while also driving a modern data strategy that enables analytics, reporting, and business insights.

This role operates with a product management mindset: treating enterprise applications and data platforms as internal products, owning their roadmaps, prioritizing based on business value, and driving measurable adoption and outcomes.

KEY DUTIES AND RESPONSIBILITIES
Enterprise Applications Leadership - - - - - -

• Lead the strategy, roadmap, and operations of enterprise applications.
• Own the enterprise applications roadmap as a product portfolio, prioritizing features, integrations, and technical debt against business value and effort (using RICE or value-vs-effort frameworks).
• Partner with business leaders to translate functional requirements into technology solutions.
• Run structured discovery with business stakeholders, interviews, journey mapping, and requirements workshops to validate needs before committing engineering resources.
• Oversee vendor relationships, licensing, upgrades, and integrations across the application ecosystem.
• Ensure applications meet security, compliance, and scalability standards.

Data Strategy & Governance - - - - -

• Develop and execute the organization's data strategy, including governance, quality, security, and accessibility.
• Oversee enterprise data platforms (data warehouse, data lakes, reporting, and analytic tools).
• Drive adoption of self-service BI and analytics across the business.
• Define and track adoption and value metrics for data and BI initiatives (dashboard usage, self-service query volume, data quality scores) and use them to prioritize the platform backlog.
• Establish policies for data ownership, stewardship, and lifecycle management.

Innovation & Transformation - - - - -

• Identify opportunities to leverage AI, automation, and advanced analytics to transform business processes.
• L

[…]
product owner for cross-functional stakeholders, balancing competing requests across business units through a transparent, criteria-based prioritization process.

QUALIFICATIONS
Required - - - - - - - -

• 8+ years of experience in product management or data platform leadership, including 4+ years owning a product roadmap at an organizational level.
• Experience owning a product roadmap and backlog, whether internal or external, including requirements definition, prioritization frameworks such as RICE or MoSCoW, and release planning.
• Experience defining and tracking product or platform success metrics (adoption, quality, usage) and iterating based on outcomes.
• Experience developing and executing a data strategy, including governance, quality, security, and accessibility.
• Experience with data platforms and BI/analytics tools, such as data warehouses, Tableau, Power BI, or Looker, and driving self-service BI adoption across business teams.
• Familiarity with enterprise CRM/ERP platforms, such as Salesforce, and cloud infrastructure such as AWS, Azure, or GCP, administered directly or overseen through a team.
• Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field, or equivalent professional experience.
• Excellent leadership, communication, and cross-functional stakeholder management skills.

Preferred - - - - - - -

• Formal Product Management or Product Owner experience on a customer-facing SaaS or AI product, including go-to-market coordination with Sales, Marketing, or Customer Success.
• Product Management certification, such as Pragmatic Institute, CSPO, or CSM.
• Direct experience with AI-driven products or solutions in an enterprise setting.
• Certifications such as TOGAF or DAMA-DMBOK.
• Hands-on Salesforce administration or enterprise application ops experience.
• Master's degree or MBA.
• Experience in industries with high regulatory and compliance requirements, such as healthcare, finance, or BPO.