Phanii Pydimarri

Recruited to lead corporate strategy, growth, technical solutioning, and client partnerships for a global Data, Analytics & AI services firm. Drive enterprise-wide transformations that create measurable client value across healthcare, logistics, manufacturing, transportation, and financial services. Develop and execute growth strategy, GTM initiatives, and ecosystem partnerships, positioning Seanergy.ai as a trusted transformation partner. Mentor leadership teams on operating model design, customer success, and revenue acceleration.

At HCSC, I was recruited to scale enterprise-wide Data & Analytics and to turn emerging technologies into drivers of growth. My mandate was to design strategy, build partnerships, and create a transformation roadmap that positioned analytics as a true business enabler. Key outcomes from this role include: Delivering over multi-million dollars in enterprise value through strategic initiatives that modernized operations and unlocked new efficiencies. Establishing data trust and compliance governance in collaboration with the CISO, ensuring regulatory alignment and security. Building a pipeline of external partnerships and M&A opportunities with startups, academic institutions, and research groups to accelerate innovation. Creating and scaling internal Data & Analytics communities, enabling employees to become effective storytellers by speaking the language of data, analytics, and AI. Enhancing HCSC’s industry presence and brand by showcasing success stories at national forums and industry conferences. This role highlighted my ability to align corporate strategy, governance, and innovation to deliver measurable transformation at scale while fostering a culture of data-driven decision making.

Co-founded a startup disrupting a $26B healthcare market with AI-driven product innovation. Defined vision, product strategy, GTM model, and partnerships, positioning for investor funding. Built product from 0 to 1, delivering MVP and roadmap for future revenue streams. Designed a 3-year roadmap with growth models, partnerships, and scaling strategy.

I was hired to unlock new growth by commercializing data and AI across Stanley Black & Decker’s global business units. Partnering with executives and customers, I identified market gaps and built a strategy that transformed data into new product opportunities. Key outcomes from this role include: Creating a portfolio of new product revenue opportunities valued at $350M+, directly tied to unmet customer needs. Building a modern data mesh architecture on cloud platforms, enabling governed, enterprise-wide insights from complex data ecosystems. Deploying audio analytics that reduced false alarms and generated new revenue streams. Leading marketing mix modeling across multiple channels, improving ROI and optimizing spend distribution. Applying advanced sentiment analysis to customer feedback, avoiding $15M in potential warranty expenses. This experience reinforced my ability to connect corporate strategy, AI innovation, and product execution to deliver enterprise-scale growth.

At Bose, I was brought in to lead an enterprise-wide transformation of analytics and AI. I built a global Data & Analytics COE spanning 5 countries, advancing a data-driven culture across 3,000+ employees. By deploying advanced analytics and AI, we: Improved product customer experience scores from 3.9 to 4.4 through sentiment analysis and proactive outreach. Designed recommendation engines that increased repeat customer sales by 25%. Launched enterprise analytics solutions that generated $86M+ in new revenue and delivered measurable business growth. This role allowed me to combine strategy, innovation, and execution to transform Bose into a data-driven enterprise.

At Sabre, I was brought in to lead the commercialization of data and AI products while ensuring global compliance and security. My focus was on building platforms, frameworks, and operating models that could both scale and monetize Sabre’s vast data ecosystem. Key outcomes from this role include: Owning product strategies to monetize Sabre’s Data, AI, and Analytics product portfolio. Governing and securing 6+ petabytes of enterprise data through modern cloud-based ecosystems (AWS, Azure), ensuring trust, compliance, and reliability. Establishing an AI Center of Excellence and Council to accelerate innovation and align product strategy across global business units. Supporting an operational portfolio of $15M+, while mobilizing global teams across the U.S., Poland, and India. Driving measurable ROI for enterprise customers by creating scalable data products designed for real-time insights and decision-making. This role demonstrated my ability to balance strategy, governance, and commercialization, transforming complex data ecosystems into revenue-generating assets.

At DART, I was tasked with modernizing the agency’s enterprise information systems and creating a roadmap that shifted the culture from siloed decision-making to data-driven transformation. Key outcomes from this role include: Delivering multi-million-dollar savings by modernizing financial planning, analytics, and operational systems. Improving passenger satisfaction by 90% by applying predictive analytics to optimize service performance. Building an enterprise-wide information management roadmap, modernizing BI, MDM, predictive analytics, and AI capabilities. Launching self-service analytics across the CFO organization, empowering leaders with faster and more reliable insights. Designing data monetization strategies that reduced annual operational costs by $1M+ while creating new opportunities for efficiency. This role highlighted my ability to lead enterprise-wide digital transformation in a public sector environment, balancing operational efficiency, customer experience, and financial stewardship.

Executive MBA, General Management