The Tech Trek

In this engaging episode, Amir Bormand interviews Marko Vasiljevic, CTO at Ghost, about the evolving nature of data teams and how businesses can better structure them in a rapidly changing tech landscape. The discussion covers the shift toward more engineering-driven data teams, the influence of AI on team composition, and how businesses can adapt to remain competitive. Marko also highlights the future of self-service data solutions and the decreasing technical barriers for companies of all sizes. Key Takeaways: Redefining Data Teams: The need for more engineering-driven data teams as traditional data roles evolve into more technical, systems-oriented functions. Data as a Product: Viewing data teams as creators of products that support business insights, moving beyond traditional data reporting. Self-Service Analytics: How businesses can build infrastructure that empowers teams with on-demand data access while reducing reliance on specialized data analysts. AI-Driven Change: The growing influence of AI in automating technical tasks and shifting the focus toward business-driven problem-solving. Future of Data Roles: The potential merging of technical and business roles as AI-driven automation reduces the need for deep technical expertise. Episode Highlights: [00:00] Introduction – Overview of the episode and guest introduction. [01:24] Defining Data Teams – How the traditional data team model is evolving. [03:42] Building Self-Service Data Systems – The path toward more accessible and scalable analytics. [06:05] DevOps for Data Analytics – Applying DevOps principles to data team operations. [09:48] Evolving Data Skillsets – Shifting from SQL-heavy roles to full-stack data engineering. [13:53] AI’s Role in Data Teams – How AI will reshape data and software engineering functions. [17:29] Business-Driven Data Models – Encouraging product managers to lead tech initiatives. [21:55] Organizational Impacts – Where technical data roles should report in a modern organization. [28:33] Competitive Pressures – How automation lowers entry barriers and intensifies market competition. Don't miss Marko’s valuable insights on building future-proof data teams and staying ahead in an AI-driven world. Like, share, and subscribe for more expert discussions! Guest: Marko is a seasoned technologist and CTO who's built and managed engineering, data, product, and design teams at several high-growth startups and unicorns. Marko also founded a few startups and successfully exited one. He's passionate about solving real-world problems with technology, and he is excited about the future of AI. https://www.linkedin.com/in/marmarko/

In this episode, Amir Bormand interviews Urvish Parikh, Co-Founder and CTO of Nirvana, to explore how machine learning is transforming the healthcare insurance landscape. Urvish discusses the challenges of working with legacy standards from the 1980s, how Nirvana addresses cost transparency issues, and the social responsibility of improving healthcare systems. Listeners will gain insights into integrating modern technology with entrenched systems and how Nirvana is making healthcare transactions more accessible and efficient. Key Takeaways: Legacy Standards Are a Double-Edged Sword The healthcare industry relies on outdated 1980s standards for transactions, creating inefficiencies but also providing a foundation to build upon. The Role of Machine Learning in Healthcare Nirvana uses machine learning to recompose scattered data, improving cost transparency and operational efficiency for billing teams. Cost Transparency Is Essential for Access Lack of transparency in healthcare costs creates financial strain and uncertainty for patients. Nirvana tackles this by increasing visibility into healthcare transactions. Social Responsibility in Innovation Urvish emphasizes the need to "tend to the system" by creating solutions that not only meet business needs but also address societal challenges. Feedback Loops Drive Better Machine Learning By engaging users in the process, Nirvana collects valuable data to improve and refine its models. Timestamped Highlights: 00:56 – The Mission of Nirvana: How Nirvana simplifies healthcare transactions to enhance cost transparency. 03:00 – Challenges of Legacy Standards: Why healthcare is still using 1980s-era systems and how Nirvana addresses this issue. 05:00 – Leveraging Machine Learning: How Nirvana uses AI to process and standardize healthcare data for better usability. 08:00 – Operationalizing Complexity: Making the healthcare system simpler for billing teams and patients. 10:00 – Social Responsibility in Healthcare Innovation: The broader mission of tending to a system that serves millions of people. 12:00 – Competing Incentives in Healthcare: Why some legacy organizations are slow to innovate. 15:00 – Adoption Challenges: How Nirvana ensures adoption by focusing on user-friendly workflows and specialization. 18:00 – Change Management and AI: The importance of addressing human factors when introducing new technology. 20:00 – Looking Ahead: Nirvana’s vision for increasing cost transparency and improving healthcare systems. Memorable Quote:"Healthcare transactions rely on a 1980s standard, but with machine learning, we can make that old foundation work better for today’s needs." – Urvish Parikh This episode is a must-listen for anyone interested in the intersection of technology, healthcare, and social impact. Don’t forget to like, subscribe, and share! Guest: Urvish Parikh is a Cofounder and CTO of Nirvana, a healthtech company committed to simplifying the healthcare ecosystem by making cost for care more transparent and accessible. With over a decade of experience in software engineering and leadership, Urvish brings deep expertise in systems thinking and strategic innovation, driving meaningful changes that enhance outcomes across complex systems. https://www.linkedin.com/in/urvish-parikh-1534442a/

In this episode, Michael Hudes discusses the evolving landscape of advertising and media, focusing on how connected screens are reshaping consumer engagement. He explores how LG Ad Solutions leverages data, personalization, and advanced technologies to redefine advertising on connected TVs and other screens. The conversation covers key innovations in the connected TV ecosystem, privacy considerations, and the future potential of AI-driven advertising. Key Takeaways: The New Definition of TV: The term "TV" has evolved into "screens connected to the internet," with viewing habits now revolving around streaming and interactive experiences. Bespoke Consumer Experiences: LG Ad Solutions creates tailored consumer interactions through its ecosystem of connected screens, from home TVs to in-car displays and hospitality settings. Data-Driven Personalization: While maintaining strong privacy compliance, LG uses first-party data and machine learning to create more relevant and engaging advertising experiences. Tech-First Business Model: LG Ad Solutions has evolved into a technology-driven platform business, using AI to optimize its advertising operations and content delivery. Episode Highlights: 00:00 - Introduction: Michael Hudes joins the show to talk about the future of media and advertising. 01:00 - Redefining Television: The shift from TV as a playback device to a connected screen for video, content, and more. 03:30 - Connected Screens Beyond TV: Opportunities in connected appliances, hotel rooms, and in-car displays. 07:15 - Privacy and Data Use: How LG balances personalization with strict privacy compliance. 10:50 - Personalized User Experiences: Examples of reducing friction through smart, connected experiences. 15:00 - Future of Advertising: How AI and machine learning will play a critical role in optimizing both consumer-facing and operational processes. 20:45 - Becoming a Platform Business: LG's transformation into a platform-driven company focused on connected experiences. 23:00 - Final Thoughts: Michael Hudes shares insights on industry trends, future growth, and building a responsible, tech-driven business. Listen Now: Discover how LG Ad Solutions is shaping the future of advertising and consumer engagement through connected screens, cutting-edge tech, and responsible data use.

Guest: Andrew Bihl, Co-Founder & CTO at Numeric Overview:In this episode, Andrew Bihl discusses how engineering teams can better integrate customer feedback into their development processes. He explores the concept of product engineering, the challenges of context switching, and how engineers can stay close to the customer while maintaining productivity. This episode is essential for tech leaders looking to create a culture where engineers are empowered to solve real customer problems. Key Takeaways: Customer Proximity Matters: Engineers should be directly exposed to customers to better understand product requirements and make informed decisions. Avoiding multiple layers between engineers and customers reduces miscommunication and lost context. Context Switching is Costly: Interruptions during deep work can derail productivity. Effective scheduling and batching of meetings minimize disruptions and maximize focus time for engineers. Product Engineers Build with Ownership: Product engineers should be involved from problem definition to implementation. Empowering engineers with context improves their ability to make real-time product decisions. Balancing Business Needs with Engineering Focus: Organizations should facilitate a balance between business engagement and technical execution. Cross-functional collaboration through structured processes prevents common bottlenecks. Highlights:[00:02:26] Defining the Role of a Product Engineer[00:03:44] How Customer Feedback Typically Reaches Engineers[00:05:04] Importance of Engineers Talking Directly to Customers[00:06:54] Breaking the "Engineers Just Want to Code" Stereotype[00:08:28] Challenges of Context Switching in Engineering[00:13:24] Translating Engineering Work to Non-Technical Teams[00:15:55] Effective Collaboration Between Product Managers and Engineers[00:17:55] Real-World Example: How Numeric Handles Customer Feedback[00:20:42] Adjusting the Product Roadmap Based on Customer Insights[00:24:28] Managing Multiple Roles as a CTO Final Thought:Empowering engineers with a deep understanding of customer needs leads to better product development and more fulfilling careers. If you’re looking to refine your product development process and improve customer-driven engineering, this episode is packed with actionable insights. Like, share, and subscribe to stay updated on future episodes exploring leadership, product innovation, and engineering excellence.

In this insightful episode, Amir Bormand speaks with Peter Swartz, Altana's Chief Science Officer and Co-Founder, about using data science and machine learning to revolutionize global supply chain management. Peter discusses his journey from quantitative political science and civil engineering to becoming a leader in AI-driven supply chain solutions. He highlights the importance of domain expertise, data-driven decision-making, and leadership growth in scaling impactful technology.Key Takeaways: Cross-Disciplinary Expertise Fuels Innovation: Peter’s diverse background in civil engineering and political science uniquely positioned him to tackle complex global supply chain challenges with data science and AI. The Value of Domain-Specific Knowledge: Understanding the global supply chain domain deeply enhances AI application effectiveness by allowing more accurate data modeling and meaningful insights. Leadership Through Continuous Learning: Transitioning from a technical role to a leadership position requires embracing feedback, learning from peers, and being open to evolving skill sets. Building Data-Powered Systems: Altana’s mission is to create a global value chain management system that maps billions of data points across supply chains to enable better decision-making at scale. Balancing Technical and Business Leadership: Peter shares his experience of balancing technical product development with business leadership responsibilities to drive business success.Episode Highlights: [00:02:30] Blending Civil Engineering with Data Science [00:05:00] Founding Altana: The Why and How [00:08:00] Applying AI to Real-World Supply Chain Problems [00:12:00] Developing Scalable Data-Driven Solutions [00:16:00] Transitioning into Leadership and Management [00:20:00] Importance of Mentorship and Feedback [00:24:00] Leadership Lessons for Technical Founders [00:28:00] How to Stay Passionate and FocusedConnect with Peter Swartz: Website: Altana.ai LinkedIn: https://www.linkedin.com/in/pgswartzDon't Miss: If you're passionate about AI, data-driven decision-making, and leadership growth, this episode is a must-listen. Share with your network, like, and subscribe for more in-depth conversations on tech and leadership.

In this episode, Greg Hahn, a data strategy and governance leader, shares deep insights on building a robust data strategy, navigating AI readiness, and the growing impact of privacy laws. The discussion covers essential pillars of data management, aligning business objectives with data strategy, and how organizations can future-proof themselves through proactive governance. Key Takeaways: Data Strategy & Maturity: Build an enterprise-wide strategy aligned with business goals for long-term success. Governance Frameworks: Adopt proven frameworks like DMBoK to streamline governance and boost data quality. AI Readiness: Ensure data integrity, strong infrastructure, and empowered teams before scaling AI initiatives. Privacy Compliance: Embrace evolving privacy laws as opportunities to strengthen trust and operational transparency. Highlights: 01:00 Understanding Data Strategy & Maturity Curve 03:00 The Importance of Foundational Data Elements 05:00 Leveraging Frameworks for Quick Data Strategy Assessment 09:00 AI Readiness and Data Management Challenges 13:00 Data Literacy and Workforce Enablement 16:00 Governance, Security & Data Integrity 19:00 Navigating Privacy Laws and Regulatory Compliance 23:00 The Future of Data-Driven Decision-Making Listen Now: Discover actionable strategies for transforming data into a competitive advantage through enterprise-wide governance, AI readiness, and compliance excellence. Share this episode with data leaders ready to enhance their data strategies.

,In this episode, Amir hosts Steve Van Lare, VP of Engineering at Anjuna Security, for an insightful discussion on hiring external technology leaders. They explore when and why companies might look outside their organization for tech leadership, how to manage internal dynamics and strategies for smooth transitions. Steve shares real-world experiences and actionable advice on assessing leadership fit, fostering team cohesion, and navigating leadership changes. Whether you’re a tech leader, HR professional, or founder, this episode delivers essential insights for building a resilient and adaptable organization. Episode Highlights: 01:55 When to Hire an Outside Technology Leader 03:39 Internal Implications of Hiring Externally 05:16 Handling Internal Friction 09:15 Leadership Style and Organizational Change 11:26 Evaluating the Need for New Leadership 18:27 Ensuring a Good Fit for New Leaders 22:36 Career Growth and Opportunities Key Takeaways: 1. When to Hire an Outside Technology Leader Consider external hires when scaling quickly, transforming, or addressing knowledge gaps. 2. Managing Internal Implications Be transparent about the decision. Communicate the value of new leadership to the team. 3. Handling Internal Friction Acknowledge concerns from internal staff. Build trust through consistent communication and team alignment. 4. Assessing Leadership Fit Evaluate leadership style, technical expertise, and cultural alignment. Focus on both business and technical problem-solving capabilities. 5. Career Growth and Long-Term Opportunities Help team members see new leadership as a growth opportunity. Encourage collaboration between new and existing leaders for a seamless transition. Gain valuable insights on hiring external tech leaders and fostering leadership resilience. Don’t forget to like, subscribe, and share this episode with your network! 🚀

In this episode, host Amir sits down with Amit Sahani, Global Head of Data at StoneX, to delve into data leadership's practical and strategic aspects. Amit shares invaluable insights on building robust data solutions, tackling data quality challenges, and fostering alignment between data engineering and business objectives. Listeners will gain practical advice on the importance of data governance, leveraging technological advancements like cloud computing, and incorporating feedback loops to drive continuous improvement. This episode is a must-listen for anyone seeking to bridge the gap between data and business. Highlights 00:56 – Grounded Leadership in Data Amit shares his philosophy on leadership and its role in successfully implementing data-driven solutions. 02:30 – Challenges in Delivering Business Solutions Insight into the common hurdles organizations face when aligning data initiatives with business needs. 04:57 – Garbage In, Garbage Out A deep dive into the critical issue of data quality and its impact on achieving high-fidelity business delivery. 10:00 – Adoption and Feedback Loops Why continuous feedback loops are essential for improving data solutions and driving adoption across teams. 13:35 – Investment in Data Quality and Governance Exploring the importance of prioritizing data governance to create a strong foundation for successful data strategies. 22:15 – The Role of Technology in Data Solutions How advancements like cloud computing are shaping the future of data engineering and management. Key Takeaways - Data Quality is Everything: Poor data leads to poor outcomes. Investing in data quality is a non-negotiable for success. - Feedback Loops Drive Improvement: Continuous feedback ensures that data solutions remain relevant and effective. - Governance is Critical: Establishing strong data governance practices enables scalability and compliance. - Technology is an Enabler: Leveraging tools like cloud computing enhances efficiency and flexibility in data solutions. - Alignment is Key: Successful data solutions bridge the gap between engineering capabilities and busi Guest: Amit Sahani is the Global Head of Data at StoneX, with nearly two decades of experience in business transformation, cloud adoption, and international expansion across the US, South America, EMEA, and India. At StoneX, he has built a global data team, launched an in-house data aggregator, and established a market data services group, positioning data as central to the company’s digital transformation. With expertise in regulated industries and global operations, Amit drives transformative change through empathy, strategic insight, and a sharp focus on business outcomes, effectively engaging stakeholders at all levels. LinkedIn: https://www.linkedin.com/in/asahani/ ---- Liked this episode? Don’t forget to subscribe, leave a review, and share with your network! For more insights, follow The Tech Trek.

In this episode of The Tech Trek, host Amir sits down with Shawn Stewart, VP of Engineering at Apartment List, to unpack the complex dynamics between individual contributors (ICs) and managers. Shawn offers a deep dive into career progression, fostering growth, and building aligned high-performing teams. This episode is packed with actionable insights for ICs and managers striving to improve their professional relationships, promote effectively, and maintain team cohesion. Episode Highlights: Understanding Manager-IC Dynamics (00:10) Shawn explains the nuances of the relationship between ICs and managers, highlighting mutual responsibilities for growth and success. Career Progression and Managerial Roles (01:41) Managers play a crucial role in shaping the career paths of their team members. Shawn delves into how managers can act as career enablers, providing guidance, feedback, and opportunities. Challenges in Manager-IC Relationships (03:59) Navigating conflicts, differing goals, and maintaining alignment between ICs and managers is key to a harmonious workplace. Importance of Calibration and Objective Evaluations (10:45) Shawn emphasizes the need for managers to calibrate team performance and conduct objective evaluations to avoid bias and ensure fairness. Promotion and Growth Strategies (16:52) Shawn shares strategies for promoting ICs effectively and highlights the importance of setting clear growth paths and expectations. Actionable Advice for Managers and ICs (20:58) Practical tips for managers to build trust and lead with empathy, and for ICs to communicate effectively and take ownership of their growth. Key Takeaways: Manager-IC Relationships Are a Two-Way Street Both parties must invest in understanding, trust, and open communication to thrive. Managers Are Career Enablers Their primary role is to align team goals with individual aspirations while providing mentorship and support. Calibration Ensures Objectivity Regular alignment on evaluations helps maintain fairness and prevents biases in promotions and feedback. Career Growth Requires Deliberate Effort Both ICs and managers must plan and execute career development strategies actively. Tune in to hear Shawn’s expert insights and practical advice for navigating the challenges of the modern workplace. Don’t forget to like, subscribe, and share this episode with your network! Shawn Stewart is a seasoned software engineer and entrepreneur with a track record of innovation and success. He began his career running his own software business and contributing to multiple startups with successful exits. As a software engineer at Sportline.com, later acquired by CBS to become CBSSports.com, Shawn earned over 15 software patents and contributed to major platforms like NFL.com, MLB.com, and the Emmy-winning March Madness on Demand. He has since led critical development initiatives at Fidelity Investments, LinkedIn, Ultimate Software, and Gusto. Currently, Shawn leads engineering at Apartment List, leveraging machine learning and generative AI to revolutionize the renter experience.LinkedIn: https://www.linkedin.com/in/irietek/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)

In this episode of The Tech Trek, Amir Bormand is joined by Neil Bhandar, VP of IT Enterprise Data Analytics and Innovation at Generac Power Systems, to discuss the evolving role of data in business strategy and decision-making. Neil shares his insights on aligning technical capabilities with strategic goals, reducing the "cost of curiosity," and the transformative power of generative AI. Key Discussion Points: Aligning Business Strategy with Technical Capabilities:Neil emphasizes ensuring technical capabilities align with business goals, enabling organizations to create meaningful value. The Role of Data in Decision-Making:Data’s ability to maintain a balanced perspective is crucial for making informed, strategic business decisions, especially in dynamic environments. Generative AI and Business Transformation:Neil explores how generative AI reshapes industries and why business leaders must develop a deeper understanding of its potential to stay competitive. Reducing the "Cost of Curiosity":Learn how organizations can make exploring insights easier and more affordable, fostering innovation without escalating costs. Future of Data TechnologyNeil discusses where data technology is headed, including its pivotal role in corporate strategy and innovation. Takeaways: This episode offers actionable insights for data leaders and executives looking to: Foster alignment between strategy and technology. Embrace AI as a competitive differentiator. Build data-driven cultures that empower informed decision-making. Drive innovation while managing operational costs effectively. Tune in to hear Neil's expert perspectives and practical advice for navigating the ever-evolving data and technology landscape. Guest: Neil Bhandar is the Vice President of IT Enterprise Data Analytics and Innovation at Generac Power Systems. With over two decades of experience in data analytics, business intelligence, and IT strategy, Neil specializes in transforming technical capabilities into strategic business outcomes. He has a proven track record of driving innovation, optimizing operational processes, and leading cross-functional teams to harness the power of data in decision-making. Neil is passionate about aligning technology with business goals to foster growth and efficiency, making him a respected leader in enterprise data analytics. https://www.linkedin.com/in/NeilBhandar/ ---- Thank you so much for checking out this episode of The Tech Trek. We would appreciate it if you would take a minute to rate and review us on your favorite podcast player. Want to learn more about us? Head over at https://www.elevano.com Have questions or want to cover specific topics with our future guests? Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)