Senior Director, Product Manager- AI and Data Integration

Software AG helps companies to manage and optimize their operations, infrastructure and technology with products that simplify complexity, increase transparency and prepare organizations for change. Trusted by the world’s best brands for more than 50 years, Software AG’s AI-enabled process intelligence, application development, high-performance database, and strategic portfolio management solutions are used by banks, retailers, manufacturers, governments and more. Software AG’s Adabas database & Natural development platform are used by the world’s leading organizations to build and deploy high-performance, mission-critical applications for IBM Z®, Linux® and cloud. Governments and businesses (in finance, manufacturing, retail and more) tailor these applications to give their organization a distinct competitive advantage and optimize them to meet the most demanding operational service level agreements. With a pledge to innovate Adabas & Natural to 2050 and beyond, we ensure our customer’s mission-critical Adabas & Natural applications are Future ready. Now. Be you, join us. Location- USA-Remote Job Posting: Senior Director Product Manager- AI and Data Integration About The Role Software AG customers, large enterprises and government organizations around the world, have developed business-critical applications based on high-transaction processing enterprise databases. In order to bring these data assets into the future, it is a key objective to integrate these systems with modern AI platforms, data analytics systems (e.g., data lake) and new frontend apps (e.g., SaaS). For this purpose, we are looking for an experienced and visionary Senior Director Product Manager that will drive and lead the evolution of our CONNX product into an intelligent data integration platform seamlessly connecting into the world of AI. The key objective is to grow and scale the product within the existing global install-base and among new customers with a strong focus on integrating enterprise databases with AI platforms (agents, agentic workflows, MCP etc’). This job requires a high level of technical credibility, a customer-centric mindset and a passion for making a new product successful within a high collaborative environment. Essential Functions

• Full ownership of all product management tasks within the context of an international B2B software vendor working with mission-critical databases
• Drive business growth by expanding and evolving the data integration product across the global install-base, supporting business development, strengthening sales execution, and working with a scalable partner ecosystem to acquire new customers and opportunities.
• Engage with customers globally within a multi-stakeholder environment (e.g., sales, marketing, pre-sales, professional services, partners).
• Collect, review and manage customer requirements/feedback and translate them into ranked feature backlogs by decomposing complex problems into smaller manageable tasks.
• Manage the full product life cycle including strategy, product launch, release/roadmap planning, agile methodologies, delivery, pricing, technology partnerships and product validation (e.g., MVP, customer co-innovation).
• Lead global Proof of Values (PoV) with customers and partners to validate the product capabilities, use cases and value propositions.
• Create content and market awareness through multiple channels (e.g., Webinars, events, social media, Blogs, communities/user groups, product demo) working closely with marketing.
• Enable and coordinate with internal stakeholders, e.g., sales, pre-sales, marketing, professional services, R&D, support, business operations, legal.
• Observe and fully understand relevant data integration market trends and the competitive landscape with a focus on AI data integration including data access, semantics, governance, security, and AI agent connectivity (e.g., MCP).

Minimum Requirements

• Bachelor's degree in computer science, Information Technology, or a related field. Advanced degree.
• 7+ years of product management experience working at an international B2B software vendor, ideally with enterprise-grade data integration platforms.
• Proven expertise in integrating enterprise databases (SQL, non-relational, On-premises) with AI platforms and corresponding technologies/architecture (e.g., MCP, agentic frameworks, RAG, LLM, MLOps).
• Longstanding experience in working with large-scale data integration technologies and modern data platform architecture (e.g., MCP, Data Lake/-house, NoSQL, Kafka, ETL/ELT, Data Pipelines, SQL, Data Virtualization, API) across a variety of database platforms (mainframe, Linux, AWS, Azure and Google Cloud, etc.)
• A solid da

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