Surya KohLeadership review 2026

Surya Koh · Chief Data Officer · Singapore / Southeast Asia

Each wider remit made the meaning of a local record more consequential.

Mar 2019 — Present

Chief Data Officer

Tervanex Components

Sector
Precision industrial component manufacturing
Ownership
Founder family 52%; long-term institutional investors 48%
Company scale
S$2.4 billion company revenue in 2025
Employees
6700 company employees at October 2026
Geography
Singapore headquarters; six factories across Singapore, Malaysia and Thailand
Reporting to
Chief Executive Officer
Team
158 data colleagues through seven direct reports at October 2026
Financial scope
S$21.4 million delegated 2026 data-function operating expense; separate from plant capital, product and operating authority

Mandate

Make the basis and limits of enterprise industrial data intelligible across physical records, analytical uses and accountable decision owners.

Outcomes

  • Preserved timing qualifications after a 2021 review found observed clock offsets on thirty-seven of two hundred machines.
  • Separated current definitions, aliases and superseded definitions in the 12400-entry 2023 parts programme.
  • Kept measured, modelled and missing submissions distinct across the 270-supplier 2025 footprint review.

Decisions in context

The CDO appointment required me to explain a combined data account to people who had not created its individual records. A factory's familiar shorthand could not remain an unstated assumption once the material supported an enterprise decision. I organised the function through seven direct reports and kept its expense delegation distinct from the resources controlled by plant, engineering and product leaders. The timing review, parts programme and supplier account tested that distinction in different ways. My team could make a qualification visible without claiming the specialist conclusion that followed from it. I have presented these questions to the board as an executive since March 2019, rather than as a statutory director. A search account should assess the contribution through what became clearer and what remained unresolved. The company's revenue and factory footprint provide context for the work; they do not establish that the data function owned every operating outcome across the manufacturer.

Reason for the move

Promoted from vice-president of industrial data; current appointment.

Aug 2012 — Feb 2019

Vice-president, industrial data

Tervanex Components

Sector
Industrial data within precision manufacturing
Ownership
Privately held manufacturer with founder-family and institutional ownership
Company scale
S$1.28 billion company revenue in 2018
Employees
4100 company employees in 2018
Geography
Singapore-led industrial operations in Southeast Asia
Reporting to
Chief Operating Officer
Team
92 data colleagues through six direct reports in 2018
Financial scope
S$10.6 million annual industrial-data function expense in 2018; no independent plant-capital delegation

Mandate

Connect cross-site data development with a precise account of the population and decision an analytical claim was intended to support.

Outcomes

  • Questioned a 2017 evaluation whose random row split retained observations from the same forty-two assets on both sides.
  • Withheld the proposed claim about unfamiliar-asset performance pending a design appropriate to the intended use.
  • Retained S$2.3 million in further analytical work without attributing an unobserved maintenance benefit.

Decisions in context

The vice-president role placed more of my attention on how industrial analysis was presented beyond its originating team. A model result could be technically reproducible while its public description implied a population that the evaluation had not examined. The maintenance study made that problem concrete. I asked colleagues to distinguish rows excluded from training from assets or future periods that were genuinely unfamiliar to the model. The request did not make the previous work worthless, but it did remove the basis for the stronger claim. I accepted the cost and delay of further analysis rather than attach a later success figure that the record did not contain. This appointment broadened my responsibility for the relationship between data development and its proposed use. It did not transfer maintenance decisions from qualified plant professionals to the data team. That boundary remained important as the function grew and its work attracted more executive attention.

Reason for the move

Promoted to CDO as enterprise data responsibilities became a CEO-reporting function.

Jun 2004 — Jul 2012

Head of plant analytics

Tervanex Components

Sector
Plant analytics in precision-component production
Ownership
Private manufacturing company
Company scale
S$620 million company revenue in 2011
Employees
2400 company employees in 2011
Geography
Factory records and production analysis across Southeast Asian operations
Reporting to
Vice-president of manufacturing systems
Team
45 analytical colleagues through four direct reports in 2011
Financial scope
S$4.2 million annual plant-analytics function expense in 2011; quality and operational decisions separately authorised

Mandate

Develop cross-plant analysis that retained the physical meaning and limitations of locally created production records.

Outcomes

  • Owned the 2008 report that conflated eighty-six unique codes with eighty-six physical production lots.
  • Reconciled twenty-six codes used in two plants and sixty used in one to a population of 112 lots.
  • Withdrew the complete-traceability claim and supported S$640,000 in review expense.

Decisions in context

Leading plant analytics made me responsible for an account assembled from several local perspectives. The lot-count error showed that I had underestimated what could disappear in that assembly. I endorsed the uniqueness of a code column without asking whether its scope matched the physical population described. When Mei Arvellan challenged the result, I needed to do more than accept a corrected total. The earlier traceability claim had to be withdrawn, and the review needed room to examine the supporting records. I kept the analytical correction separate from any conclusion about product quality or safety, which belonged to the responsible professionals. The expense and loss of confidence in the original report were consequences of my decision, not inconveniences to remove from the career story. This role prepared me for wider data leadership by exposing the difference between a technically coherent table and a defensible explanation of the work it represented.

Reason for the move

Promoted to lead industrial data beyond the plant-analytics remit.

Apr 1997 — May 2004

Master-data supervisor

Tervanex Components

Sector
Master data supporting industrial component manufacture
Ownership
Privately owned manufacturing business
Company scale
S$160 million company revenue in 2003
Employees
760 company employees in 2003
Geography
Singapore-based manufacturing organisation with expanding regional records
Reporting to
Head of manufacturing information
Team
21 master-data colleagues through three direct reports in 2003
Financial scope
S$950,000 annual function expense delegation in 2003; no production, inventory or capital decision authority

Mandate

Maintain common definitions and relationships without discarding the context needed to interpret earlier or local records.

Outcomes

  • Developed a distinction between current selection records and definitions retained for historical interpretation.
  • Worked with users to make shared data understandable without assuming every local convention was redundant.
  • Built supervisory experience across the maintenance and explanation of industrial records.

Decisions in context

The supervisory appointment introduced the continuing work behind a common definition. A catalogue could not remain intelligible simply because someone had agreed its labels once. Colleagues needed to know why a relationship existed, what an earlier definition meant and when a change required another owner to examine its use. I led a small function with an expense delegation appropriate to that responsibility, while production and engineering decisions stayed elsewhere. The most useful learning concerned conversations with the people who used the records. A consistent label could still be inconvenient or ambiguous in practice, and a local term could carry information that a central summary had overlooked. I began to see maintenance of meaning as part of the function's work rather than a preliminary clean-up before analysis. Moving into plant analytics allowed me to examine the consequences when those definitions were used to support a broader account of manufacturing activity.

Reason for the move

Promoted into plant analytics to work more directly on the conclusions drawn from combined manufacturing data.

Aug 1990 — Mar 1997

Analyst

Tervanex Components

Sector
Production analysis within component manufacturing
Ownership
Private industrial company
Company scale
S$46 million company revenue in 1996
Employees
220 company employees in 1996
Geography
Singapore manufacturing operations
Reporting to
Production analysis manager
Team
Member of a twelve-person analysis team; no direct reports
Financial scope
No independent budget or authority over manufacturing decisions.

Mandate

Examine production records under supervision and connect reported figures with the conventions and events behind them.

Outcomes

  • Learned to ask how a local record had been created before relying on its column heading.
  • Developed experience explaining differences between a recorded value and an inferred manufacturing conclusion.
  • Progressed from individual analysis into responsibility for shared industrial definitions.

Decisions in context

I began in August 1990 after completing my industrial-statistics degree that June. The twelve-person team gave me access to colleagues who could explain the practical origin of a production figure. My responsibility was to contribute analysis that others could examine, rather than to direct the factory or claim ownership of its output. I learned that a record's apparent simplicity often depended on knowledge shared by its original users. Asking about that knowledge could change the meaning of a comparison before any calculation changed. The experience supplied a foundation for later work on common definitions, but I would not present it as proof that I had already mastered every problem of industrial identity. My subsequent lot-count error shows otherwise. This first appointment is useful in the chronology because it describes the setting in which the questions began, along with the modest authority and scale of the role actually held.

Reason for the move

Promoted to master-data supervision after developing analysis and cross-functional record experience.

What I am looking for next

I would like to apply this experience where an industrial institution needs to examine the claims it makes from combined records. That might be an executive discussion about the basis of an analytical proposition or a first non-executive contribution with an appropriately defined remit. I would be useful where the difficulty concerns the physical meaning, population or evidential status behind a confident-looking account. I would be less useful if the brief required a data leader to endorse a predetermined technology outcome without examining those questions. A board opportunity would need an assessment of the expertise already present, the responsibilities of the seat and the preparation required. I have no statutory tenure to offer as a shortcut to that assessment. My initial twenty-six-day annual availability would have to be tested against real commitments, employer agreement and exceptional demands. The intended next chapter builds on the questions in this fictional record, while leaving the appointing institution to decide whether those questions add a contribution it actually needs.