Senior Technical Product Manager

As a
Senior Technical Product Manager
, you will be the driving force behind the vision, strategy, and execution of our core analytics offering and data warehouse platform. This role operates at the critical intersection of product management, engineering leadership, and advanced business intelligence, demanding hands-on technical rigor, strategic business judgment, and exceptional cross-functional execution. You will act as a
player-coach
to a team of product analysts, defining the future of our analytical capabilities while leading project execution and mentoring team members.

Key Responsibilities

1. Product Strategy & Vision

• Define and champion the
  product vision and roadmap
  for Sense Analytics platforms, such as data warehousing, advanced business intelligence, or cloud infrastructure, aligning team efforts to company OKRs.
• Shape the overall
  data strategy
  , bridging the gap between raw data and actionable insights to enable data-driven decision-making across the organization.
• Manage key stakeholder relationships, prioritize initiatives, and manage resource allocation to maximize value delivery and organizational efficiency.
• Bring strong,
  data-driven and strategic technical judgment
  to decisions, effectively translating complex technical tradeoffs into business impact and communicating results to senior leadership.

2. Program Execution & Delivery

• Own the
  end-to-end program delivery
  for large, complex analytics projects, from initial concept and requirements gathering through to implementation, ensuring high-quality and accurate reports, dashboards and features are delivered through the development lifecycle.
• Identify, manage, and mitigate both
  technical and business risks
  that threaten program success, and proactively manage cross-team dependencies.
• Drive the
  analysis cycle
  by guiding the team from framing business questions and building hypotheses to performing rigorous analysis, interpreting results, and recommending meaningful actions.
• Identify opportunities to improve execution and increase
  team productivity
  through process improvements and tooling enhancements.

3. Technical & Data Architecture Leadership

• Lead the design and implementation of
  business intelligence,
  data warehouse infrastructure, data structures, and batch/real-time data pipelines
  .
• Oversee the development and deployment of insightful dashboards, ensuring data quality, accuracy, and adherence to governance principles.
• Improve the data maturity of the organization by implementing data quality, data standardisation and governance practices
• Provide cross-functional leadership and technical credibility to Engineering and Product Management teams, diving deep into sophisticated software systems and modern cloud architectures to drive outstanding program outcomes.

Qualifications

Minimum Qualifications

• Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, or related field) or equivalent practical experience.
• A minimum o
  f 5-7 yea
  rs of demonstrated industry experience in technical program management, product management, or a related technical role.
• At leas
  t 1+ yea
  rs in a leadership capacity, directly managing and coaching product analytics or business intelligence teams
• Proficiency in data analysis tools and languages, includin
  g SQL, Python, or
  R, with hands-on experience in data modeling, analytics, and insights.
• Exceptiona
  l verbal and written communication skil
  ls, with the ability to influence and persuade technical and non-technical stakeholders at all levels of seniority.

Preferred Qualificati
ons

• Prior experience in
  a player-coach r
  ole, mentoring and developing a team of data analysts or technical program/product managers.
• Experience leading organizational change efforts and delivering data-focused programs in
  a B2B SaaS prod
  uct environment.
• Deep familiarity with modern data visualization tools (e.g., Tableau, Power BI, Sigma Computing) and hands-on experience with cloud data warehouse technologies (Snowflake, Databricks, Google BigQuery).
• Hands-on experience wi
  th LLMs, modern AI analytics technol
  ogy, or building internal platforms and infrastructure automation tools.
• Strong understanding
  of cloud architectures, distributed syst
  ems, and infrastructure capacity planning concepts.

Additional Information

Perks & Bene
fits

• Equity Medical insurance for employees and dependents
• Quarterly Professional Development allowance
• Company Wellness Days (On months without holidays, you are still given a 3-day weekend)

Sense is an equal-opportunity employer. We believe that diversity, inclusion, and belonging are integral to our success and do not discriminate based on race, color, religion, age, or any other basis protected by

law.

All your information will be kept confidential according to EEO guidelines.